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Paper Citation Record · LEDGER

Bayesian Robust Aggregation for Federated Learning

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.02490.

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

pith.paper-citation-record.v1
2505.02490 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:17.199038Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c6b2de7-198e-482a-8459-552d8cc5ab65 · outbound

This paper cites write newline.

Bayesian Robust Aggregation for Federated Learning write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.046332Z digest=sha256:f99ae8bbcad3f0efce5e55b339d0aa44ffb2f5b8d2b87f598cb19e7804f3764c

Observation 54d88ee8-1f33-4e8d-b271-ea14015f0c00 · outbound

This paper cites Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity.

Bayesian Robust Aggregation for Federated Learning Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5e7a9861-9caf-4fbb-9745-c19b3c118ee1 · outbound

This paper cites How To Backdoor Federated Learning.

Bayesian Robust Aggregation for Federated Learning How To Backdoor Federated Learning

Reference 3

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source=arxiv_source observed=2026-08-16T00:59:17.066802Z digest=sha256:764b3f0f25947bfbea1c6412380767a6c3f29b0f0f03ddd8cff43973457da7c1

Observation 1af5d1ca-dec5-4a64-913d-606888110893 · outbound

This paper cites M., Guerraoui, R., and Stainer, J.

Bayesian Robust Aggregation for Federated Learning M., Guerraoui, R., and Stainer, J

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation abb140b6-9961-42bb-b685-438fedd777b3 · outbound

This paper cites M., Kucukelbir, A., and McAuliffe, J.

Bayesian Robust Aggregation for Federated Learning M., Kucukelbir, A., and McAuliffe, J

Reference 5

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no resolver link, observed 2026-08-16T00:59:17.076084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b100ada-53bf-40d2-9f5f-88ff199be20f · outbound

This paper cites Secureboost: A lossless federated learning framework.

Bayesian Robust Aggregation for Federated Learning Secureboost: A lossless federated learning framework

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.799156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 153f2b42-ada8-4a24-978b-2b0c87b64f1d · outbound

This paper cites R., Zhong, A., Harouni, A., Gentili, A., Abidin, A.

Bayesian Robust Aggregation for Federated Learning R., Zhong, A., Harouni, A., Gentili, A., Abidin, A

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.787480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 10abfbff-d7f2-49f0-b475-31c260fbcc9f · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Bayesian Robust Aggregation for Federated Learning The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.089515Z digest=sha256:563871a3b372058f34d785c644b7b5918c61953bc4a8ad1e9e590115c5468acc

Observation 990a387f-5a16-4e11-af0b-c6df76fea247 · outbound

This paper cites an unresolved cited work.

Bayesian Robust Aggregation for Federated Learning Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-16T00:59:17.775535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fdaf1ab2-c02d-4dd1-b1d6-0d481cef954c · outbound

This paper cites and Chen, J.

Bayesian Robust Aggregation for Federated Learning and Chen, J

Reference 10

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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 2026-08-20T06:33:59.587034+00:00.

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Observation fe170d9a-36d7-4995-b766-16e0d52d74eb · outbound

This paper cites Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top.

Bayesian Robust Aggregation for Federated Learning Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top

Reference 11

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raw_fallback, observed 2026-08-16T00:59:17.750717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d31c93f9-4dc5-49a2-b183-bf799b7855cb · outbound

This paper cites Deep Residual Learning for Image Recognition.

Bayesian Robust Aggregation for Federated Learning Deep Residual Learning for Image Recognition

Reference 12

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no resolver link, observed 2026-08-16T00:59:17.108199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.108199Z digest=sha256:e0a3302c76ae7e77ff8c5be9db347c71a0e826f405869c00bb7d35ec4b983a13

Observation 7a85c292-3139-4873-b800-fa59d79e8c7b · outbound

This paper cites an unresolved cited work.

Bayesian Robust Aggregation for Federated Learning Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-16T00:59:17.736879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 001e3666-faa9-488b-93ca-4afd13f6692e · outbound

This paper cites Customized federated learning for accelerated edge computing with heterogeneous task targets.

Bayesian Robust Aggregation for Federated Learning Customized federated learning for accelerated edge computing with heterogeneous task targets

Reference 14

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raw_fallback, observed 2026-08-16T00:59:17.723693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.116524Z digest=sha256:6650d201ca10a889d394efa705af60c29ae7a90ba44e9fa51fa2e8d37e100de3

Observation c6999596-5bd9-49b1-bc24-f345305e855d · outbound

This paper cites Adaptive robust learning using latent bernoulli variables.

Bayesian Robust Aggregation for Federated Learning Adaptive robust learning using latent bernoulli variables

Reference 15

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raw_fallback, observed 2026-08-16T00:59:17.711319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6bb1b07f-ff93-4ff3-8eeb-b9e2d0075d4c · outbound

This paper cites P., He, L., and Jaggi, M.

Bayesian Robust Aggregation for Federated Learning P., He, L., and Jaggi, M

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 57b707eb-a754-484f-acab-16c2962e25e4 · outbound

This paper cites Learning from History for Byzantine Robust Optimization.

Bayesian Robust Aggregation for Federated Learning Learning from History for Byzantine Robust Optimization

Reference 17

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local_arxiv, observed 2026-08-16T00:59:17.498100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.128113Z digest=sha256:68c74293636198431cf54044810bace07034289fc0a61d6a9752ce60d248ac80

Observation 64ac0383-77f5-426a-a02c-ef0140d9dbf8 · outbound

This paper cites and Hinton, G.

Bayesian Robust Aggregation for Federated Learning and Hinton, G

Reference 18

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Observation 58028145-91d8-40c7-b6c5-df402a73a279 · outbound

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

Bayesian Robust Aggregation for Federated Learning Gradient-based learning applied to document recognition

Reference 19

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Observation 2ef26bf4-5bae-4418-adc2-5272707d836a · outbound

This paper cites an unresolved cited work.

Bayesian Robust Aggregation for Federated Learning Unresolved cited work

Reference 20

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Observation 2dec5a56-0998-4cd2-871e-fb28a9b84c9f · outbound

This paper cites an unresolved cited work.

Bayesian Robust Aggregation for Federated Learning Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-16T00:59:17.146877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.146877Z digest=sha256:ed8712f6c572ecc682813277b2a3d2d698f3051f4d9bcc4ee374bc1c16e661ad

Observation fcb61459-e445-4fa7-a01c-79ada972f552 · outbound

This paper cites an unresolved cited work.

Bayesian Robust Aggregation for Federated Learning Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-16T00:59:17.151687Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.151687Z digest=sha256:f50e15eecf51767f672011e0f8d1d4cf2b114106c3ccc0dee4c68f4ff85145dc

Observation 632a5a91-98e1-4360-badd-43de2d4cb86b · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Bayesian Robust Aggregation for Federated Learning Pytorch: An imperative style, high-performance deep learning library

Reference 23

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source=arxiv_source observed=2026-08-16T00:59:17.155769Z digest=sha256:64317c05c7862ca84987e950515648220fab380252190f280921df3675ce297d

Observation 3ee4b1ec-5ba4-4449-9647-adc151a3e887 · outbound

This paper cites M., and Harchaoui, Z.

Bayesian Robust Aggregation for Federated Learning M., and Harchaoui, Z

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.159667Z digest=sha256:e4b7dce6e364d750d2c61decd3ea4e10485508eb7c6b702c121180466daa393a

Observation 96f425e6-4315-4c07-867c-2ac24fbafdce · outbound

This paper cites Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning.

Bayesian Robust Aggregation for Federated Learning Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning

Reference 25

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no resolver link, observed 2026-08-16T00:59:17.163580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.163580Z digest=sha256:7f0a4842eb2322ec703d3afcbc638f4e6bd7fd38a6fe2c5042618774f05ed61c

Observation 56eb39c6-a2f9-4962-8e24-8c66c6d70dac · outbound

This paper cites L., Jin, L., Liu, N., Li, S., Miao, D., Zhang, X., Ng, W.

Bayesian Robust Aggregation for Federated Learning L., Jin, L., Liu, N., Li, S., Miao, D., Zhang, X., Ng, W

Reference 26

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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 2026-08-20T06:33:59.587034+00:00.

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Observation 988c1726-9e7c-4f92-b93f-c46f34c18145 · outbound

This paper cites Privacy preservation in federated learning: An insightful survey from the gdpr perspective.

Bayesian Robust Aggregation for Federated Learning Privacy preservation in federated learning: An insightful survey from the gdpr perspective

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.172152Z digest=sha256:fd0faa140f4f6232f3d9692dac44b90a0ec358400507e7723bb7a97d30be3641

Observation 93efd008-b292-4f7c-9bee-cb3d952d969f · outbound

This paper cites Federated Learning Priorities Under the European Union Artificial Intelligence Act.

Bayesian Robust Aggregation for Federated Learning Federated Learning Priorities Under the European Union Artificial Intelligence Act

Reference 28

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no resolver link, observed 2026-08-16T00:59:17.177683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.177683Z digest=sha256:9638846bf1e54425d45694ac6a04b90ddd2391baed7c940571923b54c72edc7b

Observation 8d9362f5-ab9f-4616-b86e-7465f9b61706 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Bayesian Robust Aggregation for Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 29

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unresolved
no resolver link, observed 2026-08-16T00:59:17.181978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.181978Z digest=sha256:9aea8219532554e6703d9e0ad7c4008254b0d4199f12e3002cdc1ee11b5b5fce

Observation f5838223-3dfa-41e6-8bd5-5b9407139665 · outbound

This paper cites Edgefed: Optimized federated learning based on edge computing.

Bayesian Robust Aggregation for Federated Learning Edgefed: Optimized federated learning based on edge computing

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.639672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.186446Z digest=sha256:1193dd8fa3ba0d51d6bcd81079ace518edfb793d4224f7c023b658689949ff1a

Observation 82bdf495-3bab-441f-8601-135519d26265 · outbound

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

Bayesian Robust Aggregation for Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.627233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.190912Z digest=sha256:21bde7439723a7896a813ff6ba547f0a9768ac2c8f9a92c5523f1408400c64ea

Observation b6c4b115-4b46-4e82-b721-893bacadff0c · outbound

This paper cites A3FL : Adversarially Adaptive Backdoor Attacks to Federated Learning.

Bayesian Robust Aggregation for Federated Learning A3FL : Adversarially Adaptive Backdoor Attacks to Federated Learning

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.615327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.195006Z digest=sha256:28c623523cb57a9507da419ef4406a3989cfdec3c8dd1528c87e09506557e40b

Observation 3610068c-0776-4751-944a-278bb73b3642 · outbound

This paper cites FLIP : A Provable Defense Framework for Backdoor Mitigation in Federated Learning , February 2023 b.

Bayesian Robust Aggregation for Federated Learning FLIP : A Provable Defense Framework for Backdoor Mitigation in Federated Learning , February 2023 b

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:17.602336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:59:17.199038Z digest=sha256:29b012142234b34af7cc47553bc9ee5e9757a319f354ae7acae5d7f680a994f8

Pith citing papers

No inbound Pith citation observations are available.