Paper Citation Record · LEDGER

Bayesian Federated Learning for Continual Training

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2504.15328.

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

pith.paper-citation-record.v1
2504.15328 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:36:43.379064Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

28 of 28 outbound references displayed

verified exact5
verified fuzzy13
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cedb128-5c8b-40ba-92c4-ea0d26770c58 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Bayesian Federated Learning for Continual Training Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.288864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353c5128-a489-461b-82ce-caee0b1959b2 · outbound

This paper cites On the impact of data heterogeneity in federated learning environments with application to healthcare networks,.

Bayesian Federated Learning for Continual Training On the impact of data heterogeneity in federated learning environments with application to healthcare networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.696742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63fa3dd3-ca5e-4d82-a551-180e2aef976e · outbound

This paper cites A blockchain-based federated learning for smart homes,.

Bayesian Federated Learning for Continual Training A blockchain-based federated learning for smart homes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.687021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d344586d-f7f0-48bc-b12d-d490d3bbdb21 · outbound

This paper cites Deep Federated Learning for Autonomous Driving.

Bayesian Federated Learning for Continual Training Deep Federated Learning for Autonomous Driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.300017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230e63a5-64c2-42d8-b4ca-71f11e185fee · outbound

This paper cites FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection.

Bayesian Federated Learning for Continual Training FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:36:43.530709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17de2052-7c8e-4e78-a247-9c30570e8cd0 · outbound

This paper cites Oppor- tunities of federated learning in connected, cooperative, and automated industrial systems,.

Bayesian Federated Learning for Continual Training Oppor- tunities of federated learning in connected, cooperative, and automated industrial systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.677067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1850bae-dd4a-4964-9780-297e167f8e55 · outbound

This paper cites Bayesian Federated Learning: A Survey.

Bayesian Federated Learning for Continual Training Bayesian Federated Learning: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.311071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524d1039-b421-47dc-aec9-44e03afea437 · outbound

This paper cites Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks,.

Bayesian Federated Learning for Continual Training Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.667289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 303a804f-8b69-4e47-84d8-96ce9138732e · outbound

This paper cites Partitioned Variational Inference: A Framework for Probabilistic Federated Learning.

Bayesian Federated Learning for Continual Training Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.317346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a302be-739e-425e-97e8-caed3931d1c7 · outbound

This paper cites Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent.

Bayesian Federated Learning for Continual Training Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:36:43.498299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efd1dd1b-bd92-4a7a-9252-764b7b12a272 · outbound

This paper cites Distributed stochastic gradient mcmc,.

Bayesian Federated Learning for Continual Training Distributed stochastic gradient mcmc,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.657918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac364ad4-1e10-4657-b4f6-f6034a717543 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics,.

Bayesian Federated Learning for Continual Training Bayesian learning via stochastic gradient langevin dynamics,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.648255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51e260bd-4efa-4e07-a720-adcf5712f875 · outbound

This paper cites Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy,.

Bayesian Federated Learning for Continual Training Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.638326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b279f822-047d-4685-9367-48f63b1f0c96 · outbound

This paper cites On Convergence of Federated Averaging Langevin Dynamics.

Bayesian Federated Learning for Continual Training On Convergence of Federated Averaging Langevin Dynamics

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:36:43.484773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0a3c9a9-d657-4fa7-8aa4-6baa7c78c980 · outbound

This paper cites Decentralized stochastic gradient langevin dynamics and hamiltonian monte carlo,.

Bayesian Federated Learning for Continual Training Decentralized stochastic gradient langevin dynamics and hamiltonian monte carlo,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.628153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e6bf5a6-2901-498e-a312-660389d76dd8 · outbound

This paper cites Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects,.

Bayesian Federated Learning for Continual Training Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.617895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 588ba5f2-2ae7-4e98-a4b4-5aa4fb866f76 · outbound

This paper cites Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT.

Bayesian Federated Learning for Continual Training Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:36:43.447291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 150a233b-3860-499a-b7d6-7630482ffb71 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Bayesian Federated Learning for Continual Training A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.353228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a30cc9b-3b0f-4563-b993-1b890f5bef01 · outbound

This paper cites Variational federated continual learning,.

Bayesian Federated Learning for Continual Training Variational federated continual learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.607464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60f404e2-be60-4258-86ba-229274ee17f1 · outbound

This paper cites Variational Bayes for Federated Continual Learning.

Bayesian Federated Learning for Continual Training Variational Bayes for Federated Continual Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:36:43.424051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7efb2d30-86b6-4a8d-bf72-50f945f8d2c2 · outbound

This paper cites On the impact of model compression for bayesian federated learning: An analysis on healthcare data,.

Bayesian Federated Learning for Continual Training On the impact of model compression for bayesian federated learning: An analysis on healthcare data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.597274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c67c4ab-3a02-48eb-9e25-efe3cc853e3c · outbound

This paper cites Human–robot collaboration in industrial environments: A literature review on non- destructive disassembly,.

Bayesian Federated Learning for Continual Training Human–robot collaboration in industrial environments: A literature review on non- destructive disassembly,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.587636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83881fed-a5c4-4212-b49d-d277ea63d957 · outbound

This paper cites A multisensory edge-cloud platform for opportunistic radio sensing in cobot environments,.

Bayesian Federated Learning for Continual Training A multisensory edge-cloud platform for opportunistic radio sensing in cobot environments,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:43.577069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3defe1a-bb3b-48cd-98fe-b2e195f51a51 · outbound

This paper cites Federated learning: mmwave mimo radar dataset for testing,.

Bayesian Federated Learning for Continual Training Federated learning: mmwave mimo radar dataset for testing,

Reference 24

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T11:36:43.566766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 952f8259-bf77-4a81-a139-91f51f62d38c · outbound

This paper cites Gradient-based learning applied to document recognition,.

Bayesian Federated Learning for Continual Training Gradient-based learning applied to document recognition,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.375951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abfb06d3-1e34-48a6-add8-26767540faeb · outbound

This paper cites On Calibration of Modern Neural Networks.

Bayesian Federated Learning for Continual Training On Calibration of Modern Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.379064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fcf38d2-d6bb-42ac-b0df-f446686c425b · outbound

This paper cites Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo.

Bayesian Federated Learning for Continual Training Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo

Reference 2021

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:36:43.470728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e02abea8-651d-43b3-bc6c-17ec122d7d08 · outbound

This paper cites Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects.

Bayesian Federated Learning for Continual Training Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:43.346452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.