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Paper Citation Record · LEDGER

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction

As of 9 August 2026, this Paper Citation Record lists 100 of 204 outbound references and 0 inbound Pith citation observations for arXiv:2607.08595.

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

pith.paper-citation-record.v1
2607.08595 v1

Coverage vector

measured 100 of 204 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T04:37:38.900976Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

100 of 204 outbound references displayed

  • verified exact6
  • verified fuzzy78
  • unresolved7
  • parse uncertain3
  • malformed identifier1
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4b98cce-6ee5-4850-917e-db8300ee37bd · outbound

This paper cites Computers in biology and medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Computers in biology and medicine , volume=

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c8987e1b-2db1-4e1b-9162-62a682ee48ea · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 556d9456-9d57-4a29-bf62-27239f262234 · outbound

This paper cites Government of the Netherlands , year =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Government of the Netherlands , year =

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96f8c7d6-7d4c-4fc8-a774-1f3e6b344447 · outbound

This paper cites Cardiovascular disease risk communication and prevention: a meta-analysis , volume =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Cardiovascular disease risk communication and prevention: a meta-analysis , volume =

Reference 4

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2ea36a34-954e-487f-b580-7edbded1894e · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 684a60cb-e770-4f05-9a66-2c496f24b8d6 · outbound

This paper cites Studies in Health Technology and Informatics , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Studies in Health Technology and Informatics , volume=

Reference 6

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Source-reported events for the cited work

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Observation 3f940275-6c2a-4ec9-85a0-04bf06232954 · outbound

This paper cites BMC medical research methodology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction BMC medical research methodology , volume=

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c5ae8313-f41c-4379-808a-d661c5fb5a8a · outbound

This paper cites an unresolved cited work.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 529a739e-ab2c-4f0c-8c6d-347bce613d7e · outbound

This paper cites European Health Data Space , url =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European Health Data Space , url =

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f4710a39-e8a7-4255-8755-93b8ee3565cc · outbound

This paper cites Logical observation identifier names and codes (.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Logical observation identifier names and codes (

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a173fbf2-1761-41dc-8efc-64be8cb9ac0b · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d471c8b4-70f7-487b-9d47-f10603e8887c · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 6d94306c-81e5-4761-80ed-3aa1cbe08419 · outbound

This paper cites NPJ digital medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction NPJ digital medicine , volume=

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fe17be68-bcc9-47d6-beb7-0129180c446e · outbound

This paper cites Annual Review of Pharmacology and Toxicology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Annual Review of Pharmacology and Toxicology , volume=

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 42397907-fa8f-4240-9acd-132ba29acbf4 · outbound

This paper cites Chinese Medical Journal , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Chinese Medical Journal , volume=

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 17e785f6-f5f6-4002-9f0f-49a469e5dd1e · outbound

This paper cites Challenges and opportunities for digital twins in precision medicine: a complex systems perspective.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Challenges and opportunities for digital twins in precision medicine: a complex systems perspective

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a097d9d2-763f-4ae7-8949-dbc8a098ba4f · outbound

This paper cites Journal of the American Heart Association , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Journal of the American Heart Association , volume=

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 70a4284d-41ff-4b07-930e-8adbd43141d7 · outbound

This paper cites Transdisciplinary perspectives on complex systems: New findings and approaches , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Transdisciplinary perspectives on complex systems: New findings and approaches , pages=

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4d01e321-2b5e-47e4-87b2-83c4667eb8a3 · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Data Intelligence , volume=

Reference 19

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Source-reported events for the cited work

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Observation a9e311eb-e9a0-4159-a2f0-90770195050e · outbound

This paper cites AMIA annual symposium proceedings , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction AMIA annual symposium proceedings , volume=

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29591eaa-a830-4c21-b0ea-e580fef3f076 · outbound

This paper cites Federated Learning , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Federated Learning , pages=

Reference 21

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Source-reported events for the cited work

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Observation dc035838-344b-4eab-9263-5b8431d991bc · outbound

This paper cites European journal of public health , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European journal of public health , volume=

Reference 22

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Source-reported events for the cited work

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Observation ccd5337d-3a50-42e2-b7e3-d1e4bd6a8890 · outbound

This paper cites BMC medical informatics and decision making , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction BMC medical informatics and decision making , volume=

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bfcfe93d-4448-4ef8-ad62-fbd692a677ed · outbound

This paper cites Circulation , author =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Circulation , author =

Reference 25

Resolution
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Source-reported events for the cited work

correction dated 2020-01-13. Source: crossref record 10.1161/cir.0000000000000746->10.1161/cir.0000000000000659:correction, observed 2026-07-11T02:59:59.687608+00:00. This notice travels one citation hop only.

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Observation 5636bd82-8599-4bcc-9598-3a8949a7c16b · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e6b87352-9992-41d3-bc9c-b3d340489b9b · outbound

This paper cites Diabetologia , author =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Diabetologia , author =

Reference 27

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fed07b02-5c95-4d29-b47b-3f25b2f3909a · outbound

This paper cites New England Journal of Medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction New England Journal of Medicine , volume=

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6f293f5a-9331-48b1-a397-674a07cd99b0 · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction 2022 , publisher=

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 63f17b40-9524-4724-b715-e6a438e11322 · outbound

This paper cites Foundations and trends.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Foundations and trends

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction ACM Transactions on Intelligent Systems and Technology (TIST) , volume=

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2710ee37-8368-41d8-95da-1ecd648584f9 · outbound

This paper cites Artificial intelligence and statistics , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Artificial intelligence and statistics , pages=

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8031ab64-2f25-43b2-b937-dc794efa798b · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction 2008 , publisher=

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:b9f0d5bc7844e7a445867b6b5f6b231ee3f38e8b0bb7f10dfd284d4b6693332a

Observation 1e4a24de-2a96-47ee-8e7b-5f44f5d522c3 · outbound

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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Journal of the Royal Statistical Society: Series B (Methodological) , volume=

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ccfab33b-8d09-4de4-90ba-c2dc72cf7c4c · outbound

This paper cites Jama , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Jama , volume=

Reference 35

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raw_fallback, observed 2026-07-10T09:07:00.121715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e0482f3d-811d-4721-96d9-68dd5de57125 · outbound

This paper cites Archives of internal medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Archives of internal medicine , volume=

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4e20f9df-0084-47ba-9316-87a6ead26277 · outbound

This paper cites ACM Computing Surveys , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction ACM Computing Surveys , volume=

Reference 37

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raw_fallback, observed 2026-07-10T09:37:01.603461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:41ea69701391ce5a4a674b08cb20c517bb8c982f2a8b9e1876dbf670a1d05a1e

Observation d002051e-8a9d-4f34-a3e4-7b4569382c17 · outbound

This paper cites Proceedings of the 3rd International Workshop on Distributed Machine Learning , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Proceedings of the 3rd International Workshop on Distributed Machine Learning , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.495218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:dd2936ab2a2cc5932502c420929329451e37cbac21d84c590c1dad3f46d7f89c

Observation b83da235-bea5-4e57-90b2-c42466061dc7 · outbound

This paper cites 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.129559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:3737db094b115c05b7ca38446a68eb394597a93116bcab36a01cac552aed6e99

Observation d0c10ee1-b864-4385-82c8-78ce58cf288e · outbound

This paper cites Advances in neural information processing systems , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Advances in neural information processing systems , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.137813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8a8c13d0ef3d5bf962c6c30a3eb4e7559cd62e88f121575a2d949f98c176ae1a

Observation 83293502-be67-4035-89a2-f4a9a6d26fd7 · outbound

This paper cites International journal of cardiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction International journal of cardiology , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.497048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:ccd9f9c58dc774fef34b6870d0c60d0a6b646b2b1e414707b0e9b116ee0abf0f

Observation c33831f2-7697-4249-918c-612c1941cf25 · outbound

This paper cites International journal of epidemiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction International journal of epidemiology , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.502138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:04bf7f9978a0039437fedc4d8d4d34fab0059e5310cd92b8b1ad419f7471b8c9

Observation 6e24611d-55fa-437e-884d-3378b37a28ad · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.485161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8e1609dba112b4b3f4736eb22c4c1c00a102d19df3a7522a63da23cf7c279eb3

Observation 58f89041-aa26-4fd8-b07b-ef1706dae09e · outbound

This paper cites an unresolved cited work.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-10T09:07:00.119514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:0da75353a3637a56e4ffa905229930cead818a84e34ad6bd521de971432114c2

Observation 9e568c0f-4c2e-4400-a37f-9f9b33e7374c · outbound

This paper cites Nature Medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Nature Medicine , volume=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.486851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:7d86abba3b2b9a4c5118172818a6f03ea2b1744737512aef2b7565b0d4b04c04

Observation 9557288b-7eb6-4e16-8c3a-ed92d60b8b63 · outbound

This paper cites Mandemakers and Harold Snieder and Ronald P.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Mandemakers and Harold Snieder and Ronald P

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.490190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:1b1286667f340886ed30de052b6ab98125ae4fd336773683f51349bbc69ac2ad

Observation fc2b997a-e829-423c-a4cc-b29a8092e5c6 · outbound

This paper cites Procedia Computer Science , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Procedia Computer Science , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.481818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:da3d2f5feb128226cf89c756f0279387c6ab66fcb8e5a94733765b37105eb60c

Observation cde8005d-60de-47ba-bb9e-0980f3084d2a · outbound

This paper cites Electronics , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Electronics , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.126800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:f247e817aad8c08486004fa3f4b22c798e7efaebb172d48565a5566eb68a45ab

Observation 247f45d2-5e1f-44a6-8e1e-640302fc75c7 · outbound

This paper cites International colloquium on automata, languages, and programming , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction International colloquium on automata, languages, and programming , pages=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.483540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:37b8b49dbd880f601207a50bde56e11291ea6db5a291b13874b0af844200d78a

Observation 7c08e715-d4cb-449f-8d9d-5ddb89e46a74 · outbound

This paper cites Biometrics , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Biometrics , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.491833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8756450709f4aaae7e3964c4084f7f9d2313dc833d420717e9c2b395133405cc

Observation af9a8570-9c59-452c-a536-4f41e70e70d2 · outbound

This paper cites Proceedings of Machine learning and systems , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Proceedings of Machine learning and systems , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.493469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:7b6a6ec942bff20c506107fe474134d68a5844df5b235ef81fa56851c3a5d7cc

Observation 6ba24ab4-c40f-4676-b918-429192c6a187 · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T04:46:46.636465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8c11470d23d9c0b2ff5960f1266d9ad384940d96dcd5329bc9fbeb29ec65fe12

Observation c9742881-8132-4c95-b9aa-edcf0c4e2032 · outbound

This paper cites Advances in neural information processing systems , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Advances in neural information processing systems , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.488494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:e1adf7667da2c080ffaeca5201614653a9e6fc8a002ecd75e4a942ee7dbd0e8c

Observation 8e959ceb-e500-4b0d-81c8-c33a08af6029 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction IEEE transactions on neural networks and learning systems , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.468762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:ca406570d2280d3b638ec513e7bf11af0c7a882ffc2f09057a03a01fa69c5a20

Observation 4b76c1d5-871a-4c55-9916-efc0d34d921c · outbound

This paper cites Statistics in medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Statistics in medicine , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.475143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8d1f7ca2ff2bce9bb11b21a5d14f5ada28e55facef932bbe1e1fdab2fc299801

Observation b6b58209-860b-4a57-b075-de40b19fb23b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Adam: A Method for Stochastic Optimization

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T04:46:46.633029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8f1a34e95457a42cdbcac13f7e0e2afc106cfcd089db691b4bee6657f26e5ca5

Observation d174b0dc-6624-4d00-9747-39ab9be64f78 · outbound

This paper cites 1997 , publisher=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction 1997 , publisher=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.476793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:4f66890fd50eaab0986b125727ae8c6cf0ab611ac587061c2e3cac1cdd65e0e8

Observation 03d3c5fa-319c-49d3-8dc9-ed4dd3fb009f · outbound

This paper cites Article Title.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Article Title

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-10T04:46:46.375787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:92d15949ce25423d47be6a623f14ccfd657e210bbbd01c52744bf69ee1cb1fa4

Observation 284ae25a-36da-4a8f-b157-1925e86969da · outbound

This paper cites an unresolved cited work.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 59

Resolution
parse uncertain
raw_fallback, observed 2026-07-10T09:37:01.463909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:e0df2f27eef058dc3320343b3cd517870fc5bcd09b0cefc9df6a4912464725a6

Observation 1beb590a-eeb3-4b94-ba38-add182447b45 · outbound

This paper cites The title of the book , publisher =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction The title of the book , publisher =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.505404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:e6d5c63680b685d71583c917e90c743b593470026de93056e45359e72e2faec9

Observation 69587a3d-b9af-41c5-9706-7d27303dd26d · outbound

This paper cites The title of the conference proceedings , year = 1996, publisher =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction The title of the conference proceedings , year = 1996, publisher =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.605132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:256ea84448f1a6eb82365bf7da185e2093ff3d1c327788c96813b6e576ff0cd6

Observation cf5ae988-42fc-4cb1-9425-4a26303ccb4e · outbound

This paper cites an unresolved cited work.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 62

Resolution
parse uncertain
raw_fallback, observed 2026-07-10T09:37:01.450152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:89730d4097783a142a15c2cafc0932f6deb373f2b1e8e9154f23f92d7b7bc1a7

Observation e6f1c740-f35e-4d6f-bed4-9a305e3b2f34 · outbound

This paper cites an unresolved cited work.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-07-10T09:37:01.440043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:6ebdf5b8b41267eced697d6671d263a12885768a0f2f93217dd3613321967f23

Observation dd1188a6-75af-4df5-8599-57591b50ccfa · outbound

This paper cites Data Title.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Data Title

Reference 64

Resolution
malformed identifier
raw_fallback, observed 2026-07-10T09:07:00.163424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:1e7180ae474228d335b6a176b8d66af5eba6b6a8c2bae6b2d54dbf9ea9ebe940

Observation dacffc81-37ae-42db-b503-3c3b1194d6a3 · outbound

This paper cites The Lancet , volume =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction The Lancet , volume =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.467161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:2ffbd3128c8315971c072de1973ad7b994d09fec9a26096aabe67ea4039eee8e

Observation 047c71af-6da5-491e-9e2d-79374556cbc9 · outbound

This paper cites The Lancet Public Health , volume =.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction The Lancet Public Health , volume =

Reference 66

Resolution
verified exact
doi, observed 2026-07-10T04:46:46.373366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:c457a74e6921c1a19a372bab1825e9f618f268b9d7bf1aa843d464fb317278c5

Observation e22a31d4-8b55-486d-80d3-2a8fa4bf2949 · outbound

This paper cites Cardiovascular Imaging , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Cardiovascular Imaging , volume=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.470267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:5b8132f28efaa63eb6600ac2d474f796b4e2b1b0155c5c8b8ada50f262f4b894

Observation b4c30043-1331-4835-a546-04f26e28b139 · outbound

This paper cites Heart, Lung and Circulation , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Heart, Lung and Circulation , volume=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.458526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:1cc062ebaddc771a1699a76f95fd9d58c65390d76149ede70b316865b486c352

Observation ee9de1b5-5917-42d9-8b2b-c2e5d5a313fa · outbound

This paper cites Canadian journal of cardiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Canadian journal of cardiology , volume=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.453538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:f4a5642757f507fb9d6cdfc3413a1aaba2904d8eec07ae94bcbf535edf34dff0

Observation 8c16673c-f8e1-43a6-96e8-2c31356228f8 · outbound

This paper cites Greenwade.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Greenwade

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.460469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:4f990d01f1645ebd049b612fbf316f4b75d801f6cbb8d7a5990810914b478320

Observation 125b2153-8800-43b8-851d-c9323b3d9777 · outbound

This paper cites Circulation , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Circulation , volume=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.471794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:046c568cd6c1bebe3d7e64e33cfcc578471281f5e9351f5bd08352892b1f8a52

Observation e37d5dbe-c305-4cf6-9021-0185195dac6d · outbound

This paper cites PloS one , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction PloS one , volume=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.500463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:2d47537c5d2619609f9a760ab840ca34df78e1e44f3bd5b376132caf7b39953b

Observation 9d31c5d6-8008-4ee8-b542-defc3f98d5b7 · outbound

This paper cites International Journal of Epidemiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction International Journal of Epidemiology , volume=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.609921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:b3f7a8f246b90915a80ff62c620d2d73fc4363685690625d9651d0d912e6eb12

Observation 5595ccc6-0055-4eec-ad1d-54169b4072b5 · outbound

This paper cites Circulation , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Circulation , volume=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.441643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:b2f67d17c741914ef35b9b9d585ac62122fa3a1d474cc1add4cabc6f9362e11a

Observation b17e944b-2edf-4071-b281-3bb329a1df2c · outbound

This paper cites Advances in neural information processing systems , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Advances in neural information processing systems , volume=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.446569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:337fa6ef4762f934a1776758f1689e91c8f907e31c9839d61771f6d8a5d3a3b9

Observation e3851c3f-6a34-426d-8f6b-505206098afe · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 76

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T04:46:46.629671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:22d875b14c1e371686cf1b865027917d1580f1eeb992afd687c14afbaaad0a8c

Observation acabc341-c0dc-4c5f-bc36-f0095f7f9f9c · outbound

This paper cites European heart journal , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European heart journal , volume=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.436753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:c73b0d4c2d09bea61e2a299bc1e609acde31bc4086afa2a34f5f84eb6268824d

Observation c3c34bbc-6670-40b9-b1f2-fec5ff376371 · outbound

This paper cites European journal of preventive cardiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European journal of preventive cardiology , volume=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.433105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:17a7739331558b611298af078a8f5e5a72cf6e9478bc89bb7ec580055ac1f4b8

Observation dec818a9-c21e-43e4-92e6-35b2d5adb6b4 · outbound

This paper cites Journal of the American College of Cardiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Journal of the American College of Cardiology , volume=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.431491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:7ba043f080ccb6abb647a7274c157f1924c72e62473a9323c0c0684277b92c27

Observation 4f564e8c-7213-4e91-9cca-a3cad7f07ad4 · outbound

This paper cites bmj , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction bmj , volume=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.180061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:d6faa3a446ff63c96e0644717b5dd83dd015bffbebc5f061eed7975e9eb0316a

Observation 5f15b254-82f8-488f-88b0-e1477f2f27ef · outbound

This paper cites Journal of Healthcare Informatics Research , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Journal of Healthcare Informatics Research , volume=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.434719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:669c27819a3c0ca0d2a8736b7e0951c97ea2b7de62bbf552a1eb709e33414a62

Observation 1e55461e-e255-4daf-a162-a3115800e3b3 · outbound

This paper cites Medical image analysis , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Medical image analysis , volume=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.448380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:62c63614277a639ec74756b879df354875f7b7a34aec6bb91305b7901b79e3fb

Observation 3ddb5921-2ee3-4568-9ef0-c9d5f1448bf7 · outbound

This paper cites Medical Image Analysis , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Medical Image Analysis , volume=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.429805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:14717bdd783df4986029fa7bee4085f297aeabf6bda4e174bcaa5c0440015d7e

Observation ed5c4479-40ee-41ef-bc58-299ed70e1a51 · outbound

This paper cites Knowledge-Based Systems , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Knowledge-Based Systems , pages=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.423579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:4c0eca201a314d1a0deb1ad079dee2223dff2243649ab9510ba92f43927892a8

Observation 7801cadf-2a5f-4461-aadb-17be97f13b4e · outbound

This paper cites Neurocomputing , pages=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Neurocomputing , pages=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.425089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:c017f43e8be48d36b4026f5daef3cc0e3750f21529351f0754de364be3e01898

Observation cd29e48c-1119-451a-80d4-6cd09fab3aca · outbound

This paper cites Swarm and Evolutionary Computation , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Swarm and Evolutionary Computation , volume=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.428125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:c85097e3d2f6aa0451ae1f84387c9f87db1a66b8f44324b8050c340c837811e5

Observation d72271c1-486c-461c-8020-4b61eb826c8c · outbound

This paper cites European journal of preventive cardiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European journal of preventive cardiology , volume=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.140830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:0fd3df3813cfc7b6a8ca9486503aa77a19d5d63707a64b17828cf485df300892

Observation d1476199-eb58-4a16-abdc-145e18b8290a · outbound

This paper cites Proceedings of the IEEE , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Proceedings of the IEEE , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.420306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:bbb123ed7f08aecafb5418446faeaec7cee0302127a6d1a0e6df1dc678a8fb19

Observation a07d8483-7d6d-4733-9238-33ba9d707a19 · outbound

This paper cites IEEE transactions on neural networks , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction IEEE transactions on neural networks , volume=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.422023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:1ef016232c869c31e50a327f0b78a637153a3e1b472334ffbd7f0562149de72c

Observation 88a88e4f-1463-4744-bb29-1eeb7794ea70 · outbound

This paper cites 2018 , publisher=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction 2018 , publisher=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.426645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:0bdd20da5cabb207f70abe2cf96fcfa49056b8066ffcb8730480c6a38e6fca48

Observation 426c392a-77b7-4883-83c0-db538f503a4f · outbound

This paper cites BMC medical education , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction BMC medical education , volume=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.444827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:8764dea4d47e552e202be8898c1d492835f6b53386b81326f5bee14999cf7907

Observation 7f0bea14-47a7-4bb2-9fd2-da127c3bc708 · outbound

This paper cites Deep Learning for Survival Analysis: A Review.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Deep Learning for Survival Analysis: A Review

Reference 92

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T04:46:46.627241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:c78735cb7181b4b17e4352f678c84f1257dacbe719d8e1a0150f1a664e0320d3

Observation 5f61d083-1251-4ede-9edb-fdd9f174bf51 · outbound

This paper cites BMC medical research methodology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction BMC medical research methodology , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.178400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:e3120ae67d2fa568583236ba1a167b8c4067b1a9e9b045e67375a01c9ec7daec

Observation dd4b3023-8989-4e0b-a43b-5f8c8a7a74e7 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.412373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:277c1e47056b02c0e79dd23e7a830d5b94942de52d1000632c6873455c16bcef

Observation 46235a9c-0eb9-4259-9969-86a967ce90d5 · outbound

This paper cites Computers in Biology and Medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Computers in Biology and Medicine , volume=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.155603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:2cfaef13dc523e439da5aec54133fd528bf1cdac9fd9855b5f973e211868771a

Observation 22ebccd8-5653-437d-afcd-53addbd9c910 · outbound

This paper cites Journal of Hypertension , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Journal of Hypertension , volume=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.415480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:077066d840fed1fbf7597ab764dea6478ad1cde5ec7de94e09f6cbc101074307

Observation bc261cee-e1db-4777-8ec8-94e9b6175529 · outbound

This paper cites American journal of epidemiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction American journal of epidemiology , volume=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.417106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:7d9f54587684c530b146f48541d74a8445cd697d1e29555c2576378487b5c82e

Observation a526fcc7-8c2c-462b-ae8b-78786c2c0930 · outbound

This paper cites PeerJ , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction PeerJ , volume=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:37:01.410712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:edd0e79a994f39143faf7b26056a845f792b78a4450368bee8be8c2c60de15da

Observation 3563cd17-f12e-4f15-9b54-604924476b82 · outbound

This paper cites Jama , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Jama , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.150141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:b2fedce72157bc16e2e0a6090a779b561eac68b11986358d78a4eeed14fb87bc

Observation 8c53c867-053d-4d8b-ae97-13dc3520a87f · outbound

This paper cites Annals of internal medicine , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction Annals of internal medicine , volume=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.125528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:866490d7a944c7cf45752757bac61c9f77f7a4ccd62bf266a2075b3d1ed7ba9b

Observation 5d7f4845-69e4-4f06-afae-5458af9ffca6 · outbound

This paper cites European journal of epidemiology , volume=.

Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction European journal of epidemiology , volume=

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T09:07:00.102819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T04:37:38.900976Z digest=sha256:749fe224d266d375b3cc338b6a48b72451cdf1211f30d63e9f764dee045a8964

Pith citing papers

No inbound Pith citation observations are available.