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Paper Citation Record · LEDGER

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.16190.

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

pith.paper-citation-record.v1
2505.16190 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:19.656980Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved10
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 052db8c8-737e-40bd-83e5-3cfae4fb8f9d · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Source-reported events for the cited work

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Observation a313191f-ea2d-40c2-bc4c-f3369e1d2f24 · outbound

This paper cites Competition in healthcare: good, bad or ugly?.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Competition in healthcare: good, bad or ugly?

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 85c6a766-523b-4f99-ae92-7e1637b7cebe · outbound

This paper cites Using geographic location-based public health features in survival analysis,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Using geographic location-based public health features in survival analysis,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d790626b-bc9f-4052-9f90-92ca0c8be831 · outbound

This paper cites Clusterfl: A clustering-based federated learning system for human activity recognition,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Clusterfl: A clustering-based federated learning system for human activity recognition,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5c0be909-fbbb-4f95-8939-3396389ef54a · outbound

This paper cites Dynamic clustering in federated learning,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Dynamic clustering in federated learning,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8d1dc1dd-4b35-4312-a58b-0a174adae0e8 · outbound

This paper cites Addressing data heterogeneity in federated learning of cox proportional hazards models,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Addressing data heterogeneity in federated learning of cox proportional hazards models,

Reference 6

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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 2026-08-08T06:32:00.761636+00:00.

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Observation 547cab9f-f265-47fa-9acc-282eed864ac3 · outbound

This paper cites Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,

Reference 7

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raw_fallback, observed 2026-08-07T15:10:20.787856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f5c60312-a26d-4db8-ae48-4c4a60824336 · outbound

This paper cites A novel reputation-aware client selection scheme for federated learning within mobile environments,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare A novel reputation-aware client selection scheme for federated learning within mobile environments,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6e88e4b5-0999-4a25-9053-31d65412cb2e · outbound

This paper cites Trustworthy and fair federated learning via reputation-based consensus and adaptive incentives,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Trustworthy and fair federated learning via reputation-based consensus and adaptive incentives,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:20.737322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 03a0a02e-6029-4cde-8374-bfc0f4c2d212 · outbound

This paper cites Deep learning with differential privacy,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Deep learning with differential privacy,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f139d7d-9a9c-446e-b812-6484f68cbf0d · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Calibrating noise to sensitivity in private data analysis,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c46f87a1-f7e8-4c73-a197-57a371df24a8 · outbound

This paper cites Regression models and life-tables,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Regression models and life-tables,

Reference 12

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unresolved
no resolver link, observed 2026-08-07T15:10:14.757473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:14.757473Z digest=sha256:ae8fe722b234c36840f01c7dea3a767a23b82b3a1c0c645c388fe600a9ae1af7

Observation 405d7f5a-c6bb-486e-823c-7f729a35be46 · outbound

This paper cites Trustworthy federated learning: Privacy, security, and beyond,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Trustworthy federated learning: Privacy, security, and beyond,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b54702c-2b96-4fc0-b07e-0eebb5f2a800 · outbound

This paper cites Byzantine-robust decentralized federated learning,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Byzantine-robust decentralized federated learning,

Reference 14

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raw_fallback, observed 2026-08-07T15:10:20.629715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5d5e631a-4a7d-46bf-9bda-fe1105dedd1a · outbound

This paper cites Defta: A plug-and-play peer-to-peer decentralized federated learning framework,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Defta: A plug-and-play peer-to-peer decentralized federated learning framework,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:20.598029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a84ec5d6-e42c-459f-9e1e-99d5da0fbcaa · outbound

This paper cites Machine learning with ad- versaries: Byzantine tolerant gradient descent,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Machine learning with ad- versaries: Byzantine tolerant gradient descent,

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T15:10:20.574528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b64d465-8bfa-4f03-8c69-fdc05983238a · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a7dfa2c-c0cd-446f-a5cc-198e73becbcf · outbound

This paper cites The hidden vulnerability of distributed learning in byzan- tium,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare The hidden vulnerability of distributed learning in byzan- tium,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ee0ec9b2-cda2-4b3c-8a96-6b56ee847dc3 · outbound

This paper cites an unresolved cited work.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 95dd662c-f881-4f83-b2ed-3e3a7d242015 · outbound

This paper cites Federated learning using peer-to-peer network for decentralized orchestration of model weights,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Federated learning using peer-to-peer network for decentralized orchestration of model weights,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6dd37e6c-666c-4671-bdb8-79f9c5d9a96f · outbound

This paper cites scikit-survival: A library for time-to-event analysis built on top of scikit-learn,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare scikit-survival: A library for time-to-event analysis built on top of scikit-learn,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 189f4616-1470-4f05-ac23-238f35013416 · outbound

This paper cites Analysis of survival data under the proportional hazards model,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Analysis of survival data under the proportional hazards model,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e5de81d1-30fb-42cf-984c-2b08dd90c73c · outbound

This paper cites Learning Differentially Private Recurrent Language Models.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Learning Differentially Private Recurrent Language Models

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72cf0221-0c1b-4698-a72a-e62cb78de670 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Differentially Private Federated Learning: A Client Level Perspective

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75733bad-bb28-4249-a5ee-7c2bee6b5283 · outbound

This paper cites an unresolved cited work.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 67951dec-dfde-442a-a2d5-a469c95a2dac · outbound

This paper cites Federated Survival Analysis with Discrete-Time Cox Models.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Federated Survival Analysis with Discrete-Time Cox Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:18.907245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 42859f09-0241-4a6d-9609-d6603f11f80b · outbound

This paper cites Explaining and harnessing adversarial examples,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Explaining and harnessing adversarial examples,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:20.347732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a96666b-dfcd-4ea0-ab1f-bd4854f0a948 · outbound

This paper cites Delving into transferable adversarial examples and black-box attacks,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Delving into transferable adversarial examples and black-box attacks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:10:20.325348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 36dd191e-aad6-4636-a42d-d643d26620a3 · outbound

This paper cites Practical poissonian-gaussian noise modeling and fitting for single-image raw-data,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Practical poissonian-gaussian noise modeling and fitting for single-image raw-data,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:20.215271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aeffdc26-25ec-4558-8a4e-53f84618e076 · outbound

This paper cites an unresolved cited work.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-07T15:10:19.444729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:19.444729Z digest=sha256:ee83d1945ae70919ba2437b73f2a0b173a36fb883f2e454ee123e65500ea4dcb

Observation f7282d96-91cf-49bd-bcc6-7bd9de282f2f · outbound

This paper cites an unresolved cited work.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-07T15:10:20.051938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b222af3a-1f9a-4f29-a02f-1371a92f1cd9 · outbound

This paper cites SEER Research Data 1975–2021 when using SEER*Stat: Surveillance, Epidemiology, and End Results (SEER) Program,.

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare SEER Research Data 1975–2021 when using SEER*Stat: Surveillance, Epidemiology, and End Results (SEER) Program,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:10:19.850803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.