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Paper Citation Record · LEDGER

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values

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.

pith.paper-citation-record.v1
1908.02337 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:10.836654Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:33.052150Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:39:39.674211Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bef9945-f5b3-4cc5-82b5-2ed39046cdfb · outbound

This paper cites Martinsson.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Martinsson

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.273744Z

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.

source=pdf_text observed=2026-08-14T14:51:10.713070Z digest=sha256:48933132186da56f650eaca35de5f8e57b5d6b5af85d8d662fed35920b3866db

Observation 06390822-b028-4175-a21b-783488de144d · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.259591Z

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.

source=pdf_text observed=2026-08-14T14:51:10.718122Z digest=sha256:532434c5b5c15d6f6a3b411878ad3ae3c5ab4fb8d5a27195719025ca83948a73

Observation 03450ab7-a253-403a-989a-b4380c00e0c3 · outbound

This paper cites Ching, X.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Ching, X

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.245671Z

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.

source=pdf_text observed=2026-08-14T14:51:10.722848Z digest=sha256:9c97bf376d940df37930f41c71f5f912a924ef882409d167d721d05c7ba97f4a

Observation 733d0c98-e99b-47b0-a1c2-5e8d0b72513d · outbound

This paper cites Deep convolutional neural network for survival analysis with pathological images.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Deep convolutional neural network for survival analysis with pathological images

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.231212Z

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.

source=pdf_text observed=2026-08-14T14:51:10.727511Z digest=sha256:f2edf4d5e758724beec0664273a2aaf68b4028ebc52e6d217999df3d558ba77e

Observation bd88e05b-8fb4-47ae-a72f-896e3eff106d · outbound

This paper cites Gensheimer and Balasubramanian Narasimhan.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Gensheimer and Balasubramanian Narasimhan

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.216871Z

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.

source=pdf_text observed=2026-08-14T14:51:10.731734Z digest=sha256:5cad47d7b90f1f3e62bfb3bbb502b2ff28ed35e466392b2a6947c7d7a2f01ae6

Observation e2a9334b-18f6-49fe-aa5e-55cdbd0c43aa · outbound

This paper cites Deep neural networks for survival analysis based on a multi-task framework.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Deep neural networks for survival analysis based on a multi-task framework

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.203084Z

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.

source=pdf_text observed=2026-08-14T14:51:10.736491Z digest=sha256:52949101b5fc9d1f7567c8c0f82f6bd929a37220f3c84c09d9ff08a66ac87152

Observation 54ebee21-71c0-4639-8631-a7018faf0b61 · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.188425Z

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.

source=pdf_text observed=2026-08-14T14:51:10.741566Z digest=sha256:9b406a12f5b4e69ebc49b5430442de05749d276517a343c9d5fcf666a259aef1

Observation dee80d2d-38c9-40b0-b725-43ef5e028ddd · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.173980Z

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.

source=pdf_text observed=2026-08-14T14:51:10.745841Z digest=sha256:3e982a0523b0f9dece4db5fe5bf7d6fd981ae8ed24c54fa815fe2969b4569621

Observation 5e5f5dc3-d6ef-4798-aafe-542733250ed5 · outbound

This paper cites RNN-SURV: A deep recurrent model for survival analysis.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values RNN-SURV: A deep recurrent model for survival analysis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.159153Z

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.

source=pdf_text observed=2026-08-14T14:51:10.749975Z digest=sha256:145da0a231cebe6d19b006e8dec8c4d9185b3dbf772960117667b4e8d4d027cb

Observation 3c488a62-9381-42cc-854c-d62166bdda42 · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.144509Z

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.

source=pdf_text observed=2026-08-14T14:51:10.754170Z digest=sha256:5a4e26d7cd603ffdc045fd310c5338db4381aaec30e3071123d37e50b5245e76

Observation 24b6c65b-f318-4b63-ab54-4732708229a3 · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.128702Z

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.

source=pdf_text observed=2026-08-14T14:51:10.758441Z digest=sha256:1ec2e9c29a669182f7d998c26f4cfb84dbe2cdd972501cb0701c167a11932e48

Observation f1c3400a-cfa8-49f8-9f13-39235afc05b3 · outbound

This paper cites K Andersen and J.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.113911Z

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.

source=pdf_text observed=2026-08-14T14:51:10.762362Z digest=sha256:6d31d576f8207754f5471c0df73494b06c435e50ad89f2aaea14adddc275ac82

Observation 591da071-74b7-4938-843b-30d7ed9302b2 · outbound

This paper cites K Andersen and M.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.099726Z

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.

source=pdf_text observed=2026-08-14T14:51:10.766342Z digest=sha256:dece8040e2bf8e784216f20a1cea5e98350a7cd38b13f8daa93ceb3ca605d9ea

Observation f6b61a54-8ab2-4558-978f-b3f50d723e2e · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.085217Z

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.

source=pdf_text observed=2026-08-14T14:51:10.770547Z digest=sha256:1549fcfa521b7bb78e9de22ed0d34a55d9615a83e83650471c27c1ae65bb605c

Observation 75a087ec-a841-4b68-be51-cede6b762aeb · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:11.071480Z

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.

source=pdf_text observed=2026-08-14T14:51:10.774581Z digest=sha256:7792a0f2ee4c6d3ab175f676bf8c039b33828773eff034050dd748d030c61eb0

Observation 8761af9e-a477-4f57-b10e-1bd2c0355bae · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T14:51:10.778504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:51:10.778504Z digest=sha256:6ad97e67eac9efdf049c6e47558f8eda62c98cf74c723c52823f074626e7e0c5

Observation 97f96af4-12bc-447b-8602-f9516c291f7c · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T14:51:10.782459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:51:10.782459Z digest=sha256:6eae6b5a9177eb4a0fa4271be0108a5d4ccfb39de51f559204aad264478776c6

Observation 242f411b-22ab-4bb6-be78-3aa18045983b · outbound

This paper cites Gerds, and Per Kragh Andersen.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Gerds, and Per Kragh Andersen

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.038833Z

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.

source=pdf_text observed=2026-08-14T14:51:10.786555Z digest=sha256:709fa954acc030650a82257bcf4b4d8650439b6d97abec1f8bea77febb6b0908

Observation 91201f3e-555e-4595-a024-f9e3219d40d1 · outbound

This paper cites Restricted mean models for transplant benefit and urgency.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Restricted mean models for transplant benefit and urgency

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.024353Z

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.

source=pdf_text observed=2026-08-14T14:51:10.790585Z digest=sha256:757c09c56f42d7213c7e6cc9dbf6634c45d4d48eb58853548f08e35e54e0667b

Observation b51fcf0f-6191-4734-a53e-fb6c4c1f7409 · outbound

This paper cites The accelerated failure time model: a useful alternative to the cox regression model in survival analysis.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:11.008592Z

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.

source=pdf_text observed=2026-08-14T14:51:10.794679Z digest=sha256:9a57b1e36e5546d184636a862c2707aaf5b76b78bf8d754cc91f45885202f880

Observation 23bd432e-5e5d-4288-9d52-da5af16f514d · outbound

This paper cites Harrell, Kerry L.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Harrell, Kerry L

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.993313Z

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.

source=pdf_text observed=2026-08-14T14:51:10.798833Z digest=sha256:16c89b04b352b05c6226eea4afd92d6c0de9a45b83bd109a7be9adc67a2557da

Observation 790d17e3-3992-4315-9208-e20acefe9060 · outbound

This paper cites K Andersen and M.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values K Andersen and M

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.977783Z

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.

source=pdf_text observed=2026-08-14T14:51:10.803329Z digest=sha256:e02e9b94d31a7e49df064f25fe7a92ca31c15d1ac53dcc68dd3d990534d27e77

Observation 05066b7e-48dc-4d4f-bf6c-1a53c560d3bc · outbound

This paper cites Random search for hyper-parameter optimization.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Random search for hyper-parameter optimization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T14:51:10.807505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:51:10.807505Z digest=sha256:dbcc4fcfc40968760e90e3b8a084d921ba71ada5e3ca5db59962cdc044573109

Observation f3e0e5c9-8cc9-44be-bfbd-2134147d43f7 · outbound

This paper cites Srivastava, G.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Srivastava, G

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.954120Z

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.

source=pdf_text observed=2026-08-14T14:51:10.811510Z digest=sha256:f860e4ab2bd9d40b7293de2ab82af38dc30a51efdfa2f2196555d31cadaf5b13

Observation c64f18ba-59e9-4219-a492-4bc633c3aa61 · outbound

This paper cites Greedy function approximation: a gradient boosting machine.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Greedy function approximation: a gradient boosting machine

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T14:51:10.815641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:51:10.815641Z digest=sha256:db1ae384ede2ff452a70f814732b2aaf1392254fc556c5c5832486b8bf8eaf28

Observation d98d14ae-965c-4736-aef9-ae2d59511168 · outbound

This paper cites Individualized treatment effects with censored data via fully nonparametric bayesian accelerated failure time models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.928522Z

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.

source=pdf_text observed=2026-08-14T14:51:10.820065Z digest=sha256:1c582d694f83d6690bf90ec70b8cd57d26ac5beada1907336b1154eb6a17aecf

Observation 169efb25-1147-4757-aa51-762fe4b93cd5 · outbound

This paper cites Recruitment of adults 65 years and older as participants in the cardiovascular health study.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.913859Z

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.

source=pdf_text observed=2026-08-14T14:51:10.824435Z digest=sha256:d8b2e390a602124958ddca7c78ac0d9479f6f3035a505c86acf747a8482522cf

Observation 3491e091-d5be-4121-bc7d-9da41afedabd · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:10.898486Z

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.

source=pdf_text observed=2026-08-14T14:51:10.828377Z digest=sha256:bb9aa9bc1a8dfc1a7325d211354be7310019c749f917b4e185753bab36e158f9

Observation 4eedf155-353a-4d11-9710-a3dfcfc5e7ad · outbound

This paper cites Schaubel.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Schaubel

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:51:10.884876Z

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.

source=pdf_text observed=2026-08-14T14:51:10.832510Z digest=sha256:ad026d05701deb57ecbf28490732d3a882769fcf0d86a5f1a6dff4f967fcb328

Observation cfdd4eb6-e386-49ec-9442-0bf1af87d7c4 · outbound

This paper cites an unresolved cited work.

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:51:10.871264Z

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.

source=pdf_text observed=2026-08-14T14:51:10.836654Z digest=sha256:1ec42f63c6b08d17e7b25bf8812138d1a26dfc15a6a9b7595b0466d2927beb77

Pith citing papers

Observation 43705155-8e0b-4929-b50f-c78c78cb1c85 · inbound

Survival Analysis as Imprecise Classification with Trainable Kernels cites this paper.

Survival Analysis as Imprecise Classification with Trainable Kernels DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:39:39.774237Z

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.

source=pdf_text observed=2026-08-07T04:39:33.052150Z digest=sha256:59b2b10454969c1574385a334a2af57e58721bae863cb3bafde6444e411063fb