Pith. sign in

Paper Citation Record · LEDGER

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.10754.

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

pith.paper-citation-record.v1
2411.10754 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:25:22.345658Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

23 of 23 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1678e57c-d5c1-49bf-9ccb-b6ea81e9e6cf · outbound

This paper cites Machine learning to predict end stage kidney disease in chronic kidney disease.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Machine learning to predict end stage kidney disease in chronic kidney disease

Reference 1

Resolution
verified exact
doi, observed 2026-08-12T19:25:22.458140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.256143Z digest=sha256:bdf92f60628b8bb82881c83d30d37a161a7429b1959253c775d459ce326df97d

Observation 6a2f52d0-d4a1-4ae4-993b-16ea96cef317 · outbound

This paper cites Random forests.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Random forests

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.260577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.260577Z digest=sha256:26b713c8333e9a019516c727dfdb6efd26a40d22688bd18594b37dc34e18513f

Observation 6b55fa6f-1708-4618-b585-bcecb4f0c5c4 · outbound

This paper cites Classification and regression trees.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Classification and regression trees

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.756119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.264570Z digest=sha256:3f8fdbd3494f673e6a9bbadc53c737db1999ad799323170bd3bc6088810a77d8

Observation 3e71fb3a-0851-4be7-8a1c-02648b7f20dc · outbound

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

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Verification of forecasts expressed in terms of probability

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.268869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.268869Z digest=sha256:1ee8065ac3d2dffa3fdbe73d36e00c2cdcfe2074b41f633787ecdbcbe56d7450

Observation dc0736c3-1688-42fc-a333-51a6da00ed5a · outbound

This paper cites Xgboost: A scalable tree boosting system.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Xgboost: A scalable tree boosting system

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.273540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.273540Z digest=sha256:1ee0454623a4ec651fb053d016c7bdaba2a7168d65e4a41911b0abbde590331c

Observation 552061e4-407b-45d3-b377-1073ac19bd3d · outbound

This paper cites an unresolved cited work.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.277806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.277806Z digest=sha256:88890b9895367f8e919eb1cef968175494c49bd377f4680e1c8bc3c73a07d669

Observation 5be2649f-6da0-4c5c-ab70-9ebc2b3427e2 · outbound

This paper cites Kidney failure and the kidney failure risk equations (kfre): What you need to know.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Kidney failure and the kidney failure risk equations (kfre): What you need to know

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.732411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.283220Z digest=sha256:3023045c60123f20bc7a25b90e26b2984d17a16608388f4e9cdb8119a1a5656a

Observation e35a7821-2475-4ae0-bf39-96697101802a · outbound

This paper cites Evaluating the yield of medical tests.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Evaluating the yield of medical tests

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.287760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.287760Z digest=sha256:25fd34e30ca42b87125690a64cbcc8acdbef09481730991173531c033230886b

Observation 7739ab38-d8b6-4ea4-8d1b-427259be4c4d · outbound

This paper cites Deep residual learning for image recognition.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Deep residual learning for image recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.292565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.292565Z digest=sha256:f3bcd8dd44ee3f1aeff5874edc6878c31051007de058ffc7d970137a880069e2

Observation 950cb7dd-ca4c-44e1-b5a9-9a3dd15a0afa · outbound

This paper cites Hosmer, Stanley Lemeshow, and Rodney X.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Hosmer, Stanley Lemeshow, and Rodney X

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.296788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.296788Z digest=sha256:1e32d6201c664234af37084a11a2413f8553a916d0cfca44e2e9b9a1c1614204

Observation 679a90d3-3681-4c3c-8bd6-c301d64bd839 · outbound

This paper cites an unresolved cited work.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:25:22.707632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.301593Z digest=sha256:66802e31e1cf3e18d2db7146a0f1405ec72347057025852b8d21e784325fa70f

Observation 289cf3c1-0b57-4aed-b86a-2aedaf0444f4 · outbound

This paper cites Chronic kidney disease.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Chronic kidney disease

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.691843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.305713Z digest=sha256:a7324e582550b606524d58a2e3f037264671f5b72046fe0e8f59a9dbc14c048e

Observation ec98c564-0800-42d3-a973-826695f272a3 · outbound

This paper cites Estimating the financial cost of chronic kidney disease to the nhs in england.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Estimating the financial cost of chronic kidney disease to the nhs in england

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.678522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.309700Z digest=sha256:2721795c4c206da6d5916f3e69cc375621361f51d8bf3e757f37e16bafca32f0

Observation 8115cf69-f0a9-427d-81a6-207a422e4bee · outbound

This paper cites Deep learning.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Deep learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.313246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.313246Z digest=sha256:c5bc9d1f2d0c7e41aae722d6b654d2489c75232b3f8d4e881fa01e5aeac0b541

Observation 25d94550-69fa-4446-9c8d-96c84a2af783 · outbound

This paper cites Combining machine learning with cox models to identify predictors for incident post-menopausal breast cancer in the uk biobank.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Combining machine learning with cox models to identify predictors for incident post-menopausal breast cancer in the uk biobank

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.316629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.316629Z digest=sha256:064f3de9cab99450243970fcb818bfe74d9fd18a0bba397a431c0f695f50281b

Observation 9c19b870-5895-4afc-9cc5-38261ce73c84 · outbound

This paper cites Lundberg and Su-In Lee.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Lundberg and Su-In Lee

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.664312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.320157Z digest=sha256:59fb7826a600e685d6bad83c58ee8f79abf0581890376cb4904727fc12030e7c

Observation 3ad6d0eb-33f2-47cc-8cfb-6b1f0ef90846 · outbound

This paper cites Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.649719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.323795Z digest=sha256:ba52c4ff70968cc6616fc1dbcb0da9ee855e8104bcab8e01736817c8f4abb367

Observation cd56e735-6a63-4ef8-a0ba-30aed7534323 · outbound

This paper cites Major, David Shepherd, Jonathan F.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Major, David Shepherd, Jonathan F

Reference 18

Resolution
verified exact
doi, observed 2026-08-12T19:25:22.408019Z

Source-reported events for the cited work

correction dated 2020-07-24. Source: crossref record 10.1371/journal.pmed.1003313->10.1371/journal.pmed.1002955:correction, observed 2026-07-11T03:01:32.328002+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-12T19:25:22.327553Z digest=sha256:130a4514a11df53269e9e75c7565e1f9c1d1312a0906bd05547ae994b5b86bbc

Observation d203aff4-6f93-4cb8-b375-412b28853293 · outbound

This paper cites The explanation game: Explaining machine learning models using shapley values.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification The explanation game: Explaining machine learning models using shapley values

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.634790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.331354Z digest=sha256:628531da99a9901cf15a8bee0f69291ea449799cd6da87e7f05431727a12e416

Observation 8f0e2313-15d7-4766-aedb-2fdce894f06f · outbound

This paper cites A value for n-person games.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification A value for n-person games

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T19:25:22.334733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:25:22.334733Z digest=sha256:bc9b4159f34c6ea4f50bea8a6d58db94da4388b500b1e82c65d13dfbe9a8fa77

Observation 7d59a820-ab4d-4386-afb5-6186708da54c · outbound

This paper cites Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:25:22.610960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.338202Z digest=sha256:40e647fa2ca69215620a7ce3c4d471d8f5e678a5d027456f9c40299c38c61372

Observation 082d01b6-eced-4a72-b5e7-946e074c67a5 · outbound

This paper cites Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Reference 22

Resolution
verified exact
doi, observed 2026-08-12T19:25:22.394670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.341612Z digest=sha256:5773510f28b3a2db4f74abf3a12076c47844ff7256779479891f887314e4f6cb

Observation 52a0b49a-adb3-472f-8593-e67cb9f969e3 · outbound

This paper cites Nomogram predicting the risk of three-year chronic kidney disease adverse outcomes among east asian patients with ckd.

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification Nomogram predicting the risk of three-year chronic kidney disease adverse outcomes among east asian patients with ckd

Reference 23

Resolution
verified exact
doi, observed 2026-08-12T19:25:22.378536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:25:22.345658Z digest=sha256:43ae35540fd2953def21aa18739db8dbb0410457980e89c1c58a34fdcaf364e6

Pith citing papers

No inbound Pith citation observations are available.