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Paper Citation Record · LEDGER

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression

As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2509.07108.

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

pith.paper-citation-record.v1
2509.07108 v1

Coverage vector

measured 71 of 71 reference resolution

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measured 71 of 71 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

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Outbound references

Observation 3856279e-4a34-4650-9b83-75fb6d51e558 · outbound

This paper cites Nonparametric inference for a family of counting processes.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Nonparametric inference for a family of counting processes

Reference 1

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Observation 627d4edb-0814-45f1-b1bd-65201499e572 · outbound

This paper cites A review of interpretable ml in healthcare: taxonomy, applications, challenges, and future directions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A review of interpretable ml in healthcare: taxonomy, applications, challenges, and future directions

Reference 2

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Observation af131b25-f564-4a3c-95c6-f668f779fd4a · outbound

This paper cites Neural additive models: Interpretable machine learning with neural nets.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural additive models: Interpretable machine learning with neural nets

Reference 3

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Observation 49af13a2-dbcb-4132-88d0-c3abcb723d38 · outbound

This paper cites Interpretable machine learning in healthcare.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Interpretable machine learning in healthcare

Reference 4

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Observation dfc0dac1-605f-4543-bb27-ccec5eddfd48 · outbound

This paper cites Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Reference 5

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Observation fbd85e91-276b-48f3-8d62-46dd957ea9e4 · outbound

This paper cites Can we gain more from orthogonality regularizations in training deep networks? Advances in Neural Information Processing Systems, 31, 2018.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Can we gain more from orthogonality regularizations in training deep networks? Advances in Neural Information Processing Systems, 31, 2018

Reference 6

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Observation 5ec77132-cfb8-4d73-a835-9024ed321b40 · outbound

This paper cites A framework for modeling and interpreting patient subgroups applied to hospital readmission: visual analytical approach.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A framework for modeling and interpreting patient subgroups applied to hospital readmission: visual analytical approach

Reference 7

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Observation 79c4f91e-55f0-40f2-96fd-53fa5644c491 · outbound

This paper cites Pattern recognition and machine learning, volume 4.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Pattern recognition and machine learning, volume 4

Reference 8

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Observation 912caebf-43b8-477d-b39a-ff0d70bc80be · outbound

This paper cites Verification of forecasts expressed in terms of probability.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Verification of forecasts expressed in terms of probability

Reference 9

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Observation c31f644c-23c7-4a96-b0ab-6dd3ed4cd098 · outbound

This paper cites Neural Photo Editing with Introspective Adversarial Networks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural Photo Editing with Introspective Adversarial Networks

Reference 10

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Observation b2fe1fbe-8e1d-4e5d-aedd-97a9b95980e6 · outbound

This paper cites Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission

Reference 11

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Observation 96e6f590-e45a-4b36-be5f-7da12e31e638 · outbound

This paper cites Survival analysis part i: basic concepts and first analyses.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis part i: basic concepts and first analyses

Reference 12

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Observation ef6b14d6-941f-45c5-9ad5-53799b8659c9 · outbound

This paper cites Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis

Reference 13

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Observation 58b797c8-498e-499d-9820-59f3a6ea8351 · outbound

This paper cites Regression models and life-tables.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Regression models and life-tables

Reference 14

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Observation d60982d6-f0f0-42e3-a3d8-6aa2f6402f76 · outbound

This paper cites Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population

Reference 15

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Observation cd3e68b9-3dce-4730-9ff3-fdc463a2a5c7 · outbound

This paper cites Survival analysis using auxiliary variables via multiple imputation, with application to aids clinical trial data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis using auxiliary variables via multiple imputation, with application to aids clinical trial data

Reference 16

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Observation 87195226-dd6f-43f1-acf6-c4280e595a9d · outbound

This paper cites Survival analysis in clinical trials: past developments and future directions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis in clinical trials: past developments and future directions

Reference 17

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Observation b07a0a44-9b4a-47f3-adce-3702d75c4f46 · outbound

This paper cites Assessment and comparison of prognostic classification schemes for survival data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Assessment and comparison of prognostic classification schemes for survival data

Reference 18

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Observation 6f8091ed-d17f-4054-b67d-fcddd3eaff6c · outbound

This paper cites Proportional hazards tests and diagnostics based on weighted residuals.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Proportional hazards tests and diagnostics based on weighted residuals

Reference 19

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Observation d9312122-44de-4230-872d-46ac71521f7f · outbound

This paper cites A sampling strategy to estimate the area and perimeter of irregularly shaped planar regions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A sampling strategy to estimate the area and perimeter of irregularly shaped planar regions

Reference 20

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Observation 59e9d118-6e02-48c7-8829-c92b8f87622d · outbound

This paper cites Survival analysis with electronic health record data: Experiments with chronic kidney disease.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis with electronic health record data: Experiments with chronic kidney disease

Reference 21

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Observation 161a87a2-952f-4e3e-8f95-3bc2dfcb5fba · outbound

This paper cites Effective ways to build and evaluate individual survival distributions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Effective ways to build and evaluate individual survival distributions

Reference 22

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Observation 5f2f3299-7501-4d46-ac25-ec10626540ce · outbound

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ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival Mixture Density Networks

Reference 23

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This paper cites An evaluation of the doctor-interpretability of generalized additive models with interactions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression An evaluation of the doctor-interpretability of generalized additive models with interactions

Reference 24

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Observation bb78a93c-fd30-4f41-9f6a-dddfb8eb065c · outbound

This paper cites Graphical methods for assessing violations of the proportional hazards assumption in cox regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Graphical methods for assessing violations of the proportional hazards assumption in cox regression

Reference 25

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Observation d327506e-479b-485f-a8d7-08ee06c7ab01 · outbound

This paper cites Random survival forests.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Random survival forests

Reference 26

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This paper cites Neural survival clustering: Non-parametric mixture of neural networks for survival clustering.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural survival clustering: Non-parametric mixture of neural networks for survival clustering

Reference 27

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This paper cites Neural fine-gray: Monotonic neural networks for competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural fine-gray: Monotonic neural networks for competing risks

Reference 28

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This paper cites Competing Risks: Impact on Risk Estimation and Algorithmic Fairness.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Competing Risks: Impact on Risk Estimation and Algorithmic Fairness

Reference 29

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This paper cites Coxnams: Interpretable deep learning model for survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Coxnams: Interpretable deep learning model for survival analysis

Reference 30

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Observation bcedc998-cd85-4327-9d66-14f9a526500e · outbound

This paper cites Nonparametric estimation from incomplete observations.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Nonparametric estimation from incomplete observations

Reference 31

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This paper cites Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network

Reference 32

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Observation dd3936af-c01e-4aed-b905-9cde4bfcb284 · outbound

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ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Maximum likelihood estimation of flexible survival densities with importance sampling

Reference 33

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ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Adam: A Method for Stochastic Optimization

Reference 34

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ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.605151Z digest=sha256:8eb30181d4d7dd9187fc98c7fb6358a72deaaf5d5e371438b98784ec35c56744

Observation 0a14b4f1-ab7b-43f2-8e5e-ce02f6f230c1 · outbound

This paper cites Feature selection algorithms in generalized additive models under concurvity.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Feature selection algorithms in generalized additive models under concurvity

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.237127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.608800Z digest=sha256:94b6dfa27dabd51ae8cfc2702ac2296e96baeff71f82d538a884414edc3f315c

Observation ddff692c-4da0-4b47-97d8-7cd31ddf40de · outbound

This paper cites Survlime: A method for explaining machine learning survival models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survlime: A method for explaining machine learning survival models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.225987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.612483Z digest=sha256:f5a89898ad4dd5bd3008c43f2c3f09e7785b469df4cbc2c7e8e436cf6f001af6

Observation 87104e85-9f1f-4d6a-be26-7a62ab8468c9 · outbound

This paper cites Survshap (t): time-dependent explanations of machine learning survival models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survshap (t): time-dependent explanations of machine learning survival models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.215249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.616238Z digest=sha256:e06f31c8a0a8d77902a0226de62e024f4fd9291165976e61a8f49624a45688bc

Observation 57340e2c-c76f-4aa1-aa6a-04582ecbb529 · outbound

This paper cites havakv/pycox: Survival analysis with pytorch.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression havakv/pycox: Survival analysis with pytorch

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.203219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.620447Z digest=sha256:770e98909336b9f6475dd848f0ab9371c6665352114a2267549ef73cefc86034

Observation 1b22bb79-46c2-4438-b864-f0d5a86f4377 · outbound

This paper cites Time-to-event prediction with neural networks and cox regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Time-to-event prediction with neural networks and cox regression

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.191404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.624376Z digest=sha256:09a0e4fab168f315fec47eeaff06479c4e296e4a00e99752a76fea7e7f1f1c83

Observation bb4ede44-33b6-418b-8165-17f80b1bbb9f · outbound

This paper cites Deephit: A deep learning approach to survival analysis with competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deephit: A deep learning approach to survival analysis with competing risks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.179359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.628095Z digest=sha256:73be89bc9bc4899a030d1613cb30eecb9fdbed0b730b9edc3becc7abe0534598

Observation 8d8780e3-f8d1-4fe5-bc07-f3ffe77f5e76 · outbound

This paper cites Temporal quilting for survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Temporal quilting for survival analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.167961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.631764Z digest=sha256:06268ad6fefabe512d8ab98846b060302887e04a7dd71816095a60a2595ef4f9

Observation 16093756-adda-4b47-8619-a06c9603b963 · outbound

This paper cites Spatio-temporally smoothed deep survival neural network.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Spatio-temporally smoothed deep survival neural network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.155754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.635173Z digest=sha256:7fcc2916060b530441261e83ae12d018ddb1162dc85ce7095088aab9b07628c9

Observation 4515702b-3a99-405e-b1cb-6c3fa3d1cc6f · outbound

This paper cites A ccurate I ntelligible M odels w ith P airwise I nteractions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A ccurate I ntelligible M odels w ith P airwise I nteractions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.144163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.639061Z digest=sha256:8b29e322f5cc5db23bc00f789c7018eb38a7d9adb51392724108a3aca3853c27

Observation 848500e2-f888-4b49-8de0-68bb3f6e0780 · outbound

This paper cites On the importance of interpretable machine learning predictions to inform clinical decision making in oncology.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.131103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.642690Z digest=sha256:c9d748b613c23bd1e8e195900df97b7f47fd122ef0c3aa69608cce96a6562289

Observation f10d91e8-a4b1-4e0b-9341-5400c2bfe065 · outbound

This paper cites A unified approach to interpreting model predictions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A unified approach to interpreting model predictions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.646692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.646692Z digest=sha256:801cd1c3de215cf9fcade91893bfa6be502c3d6924290f386fae00864ef243a2

Observation d3d64181-f230-4dd9-ae2e-68d16ba7f314 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Asynchronous methods for deep reinforcement learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.112101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.650872Z digest=sha256:460e2cc4c0512dcd47f2aa902d1824746305329df34ae3c40f66805e9a526fdc

Observation 6498de95-f7bd-4ab8-922a-e6db966a91e4 · outbound

This paper cites Combined survival analysis of prospective clinical trials of gefitinib for non--small cell lung cancer with egfr mutations.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Combined survival analysis of prospective clinical trials of gefitinib for non--small cell lung cancer with egfr mutations

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.099965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.655178Z digest=sha256:f536a99b76c6e8694ad465e9f5b5ae05585735427bc45299ddb4a7029820e507

Observation 4afa8e2f-a78a-45f7-ac3e-c2b75d3bb9f9 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Modern hierarchical, agglomerative clustering algorithms

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.659268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.659268Z digest=sha256:a3ff215f18297d660c7b176981b9334f979ae8e74643f91effcfe43d4301a3a8

Observation afc10faf-ad46-4a18-84c1-7b1a8a0ac196 · outbound

This paper cites Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.087465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.664498Z digest=sha256:7e581eecf424455d178b0314c1f2000423db6ff3b34c6e6c84eadd9b614e7e9d

Observation 1eb6f891-8abd-4964-88a5-ed1b4d217760 · outbound

This paper cites Deep cox mixtures for survival regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deep cox mixtures for survival regression

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.075679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.668238Z digest=sha256:3150a861c555c56e16e7dd80894513d19386de75f3624c823dca99e08dd0789f

Observation 3dad199a-4ac1-4dd2-be1b-745ce2aa0ca2 · outbound

This paper cites Counterfactual phenotyping with censored time-to-events.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Counterfactual phenotyping with censored time-to-events

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.062033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.672086Z digest=sha256:a65f3ead67b9a73c820b87240b6e4e100bff6ca3d498aedd35b18db243f77101

Observation ac788d38-9624-40d2-ad1c-7d19c32fd726 · outbound

This paper cites Hazard plotting for incomplete failure data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Hazard plotting for incomplete failure data

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.048312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.675449Z digest=sha256:366cee88b489427bc0d76df010fcf9ad4c95abfb8a7847b6fdde9046de98bc33

Observation 943d3c6d-c0f0-4045-a8f9-37072eba3495 · outbound

This paper cites Using ehrs and machine learning for heart failure survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Using ehrs and machine learning for heart failure survival analysis

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.035609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.679714Z digest=sha256:2275ae03a996e72779d024d79d33bc58ce7009797c3c8d70c2802723e206ee3f

Observation 82fc8fa7-0f80-4a13-89d3-f19c3471220d · outbound

This paper cites Extending the Neural Additive Model for Survival Analysis with EHR Data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Extending the Neural Additive Model for Survival Analysis with EHR Data

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:19:57.801667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.684118Z digest=sha256:1b64ee7e27d8089f3601227a3e4ccaf981a496dec2cd435ed12399d808d55a77

Observation 5f103214-3ad0-4c64-995f-5240bd7e0606 · outbound

This paper cites Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.023203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.687987Z digest=sha256:6c7af5827bd4abd80f74ddc7290e489fc58c7f3ee5df80c06a761c95bbd3f3fb

Observation ab3a4b92-410c-432f-9671-72c7b0cc09b5 · outbound

This paper cites An Effective Meaningful Way to Evaluate Survival Models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression An Effective Meaningful Way to Evaluate Survival Models

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:19:57.782407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.691739Z digest=sha256:5055f4a52cb0b7b5e659b7abb2c56ce804767c3599e6080940de3e66ae37285f

Observation 09387cc5-04d4-4562-b76b-0a0c20c1a7f1 · outbound

This paper cites The effect of concurvity in generalized additive models linking mortality to ambient particulate matter.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression The effect of concurvity in generalized additive models linking mortality to ambient particulate matter

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:58.010125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.695648Z digest=sha256:708f11c8e19fb5fdfdc0245b5934bdf631cf35ba287bf5a1ae8a8184ed488ed7

Observation 1b3da23c-f551-4e35-877a-cd40d8dceb98 · outbound

This paper cites Survival regression with proper scoring rules and monotonic neural networks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival regression with proper scoring rules and monotonic neural networks

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.998390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.699558Z digest=sha256:693807612e60d92ee8e54dc8016f6bc4b5eecc1604d572fb9f65b19689eca5bf

Observation b43ba6b4-dc12-4b55-a73a-01e05cc0cbac · outbound

This paper cites Clinical decision support in the era of artificial intelligence.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Clinical decision support in the era of artificial intelligence

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.703090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.703090Z digest=sha256:c409827ff0770210a069c2460183a9d41af206fe5433b5a8d79de8064a6b34e7

Observation f25024d9-577d-46eb-a23d-992f82cfe461 · outbound

This paper cites Curve your enthusiasm: concurvity regularization in differentiable generalized additive models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Curve your enthusiasm: concurvity regularization in differentiable generalized additive models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.979633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.707236Z digest=sha256:cdb537ada3ee6fe06131fe10027944014f7df66077131895a8b1f33f7acc1700

Observation 6ba82e37-eb1c-4046-8407-2f33c3307e48 · outbound

This paper cites Survival analysis in clinical trials: Basics and must know areas.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis in clinical trials: Basics and must know areas

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.967382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.710766Z digest=sha256:bc142f8a5accd1fae218748dd2aff282c3e107bedb5f5564f216c5f606ce3e1b

Observation 25093b00-db16-40dd-b07d-e377be1714c2 · outbound

This paper cites Association of body temperature and mortality in critically ill patients: an observational study using two large databases.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Association of body temperature and mortality in critically ill patients: an observational study using two large databases

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.954837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.714781Z digest=sha256:8ed63f64af26c438a3bdb0b82feb21a3fe5c455e90e30749ccbea6f99c9cd89a

Observation cd8838fb-3217-4985-bd5d-65c5c3c5209d · outbound

This paper cites All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.942076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.717909Z digest=sha256:d553d7a100f2ebbb5721019033dc43d2f8ecea95ad7603c0ff28da0d2165dfd0

Observation 59ca99ef-f6d8-4049-8300-7b719085d23a · outbound

This paper cites What clinicians want: contextualizing explainable machine learning for clinical end use.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression What clinicians want: contextualizing explainable machine learning for clinical end use

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.721460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.721460Z digest=sha256:acc3fd0d1afc4b786819b8adc841adfd66b492a9dfe97a525df9c62f1946029d

Observation d041d64e-dd47-450d-83e0-49bd40e2b435 · outbound

This paper cites On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.725532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.725532Z digest=sha256:04de1863f6b03682d46fcd1c6c4c31eca87b6cc7665536894cb453cf6002c439

Observation fb679669-57c8-4ba3-a35e-76fc70fa3977 · outbound

This paper cites Survnam: The machine learning survival model explanation.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survnam: The machine learning survival model explanation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.918033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.728938Z digest=sha256:d1332ad207a7d23eb3086452474fc9b3390eeb78afe498e2a261e700b70112b6

Observation def8ec9e-cdbb-4eb3-8f2f-70e0999513f8 · outbound

This paper cites Survival prediction in terminal cancer patients: a systematic review of the medical literature.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival prediction in terminal cancer patients: a systematic review of the medical literature

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.906491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.733101Z digest=sha256:307f7dc42a007ae0eac167191716f86b1125806250ae6c1e2f8f06eec8378232

Observation 8df30b46-ed7c-470f-9ca7-8f1132b495b4 · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Scipy 1.0: fundamental algorithms for scientific computing in python

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T16:19:57.737271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:19:57.737271Z digest=sha256:f6054f342166f04cbf8b95707be3a05a1331764d5ac2b6b77b35135673de3865

Observation 06667455-4910-4612-9e91-7beced68e385 · outbound

This paper cites Survtrace: Transformers for survival analysis with competing events.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survtrace: Transformers for survival analysis with competing events

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:57.888484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T16:19:57.740951Z digest=sha256:85b9fea840dea5850a6ff1912973de05efe3811d45097da38fd8daea0e0e414f

Observation a43ebd77-5e96-4045-9c42-0983513b507f · outbound

This paper cites Coxnam: An interpretable deep survival analysis model.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Coxnam: An interpretable deep survival analysis model

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raw_fallback, observed 2026-08-15T16:19:57.876601Z

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source=arxiv_source observed=2026-08-15T16:19:57.744435Z digest=sha256:288bdc9a723757b39c34675d840b76a29823c5e21caf0480b117c8dee784df54

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