Paper Citation Record · LEDGER

ByzFL: Research Framework for Robust Federated Learning

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2505.24802.

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

pith.paper-citation-record.v1
2505.24802 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:45.926303Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T20:57:24.187155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:21.635982Z

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy4
unresolved12
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b9014a6-edb9-4b63-b5fa-33da76ac2ef5 · outbound

This paper cites doi: 10.1561/2200000083.

ByzFL: Research Framework for Robust Federated Learning doi: 10.1561/2200000083

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.144120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beffec56-fd05-46ad-b434-8f3cdcc0f06b · outbound

This paper cites Saeed Mahloujifar, Mohammad Mahmoody, and Ameer Mohammed.

ByzFL: Research Framework for Robust Federated Learning Saeed Mahloujifar, Mohammad Mahmoody, and Ameer Mohammed

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:15:47.145181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a874198-b889-472e-a300-132702e7892f · outbound

This paper cites v13i1.625.

ByzFL: Research Framework for Robust Federated Learning v13i1.625

Reference 13

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T12:15:46.114876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d66eb2c7-1d86-47b2-84f4-61823359d58e · outbound

This paper cites A generic framework for privacy preserving deep learning.

ByzFL: Research Framework for Robust Federated Learning A generic framework for privacy preserving deep learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.581493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe486ba-953e-4be8-bd88-7220330fbf54 · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

ByzFL: Research Framework for Robust Federated Learning Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.639163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df6fae16-0010-4606-8972-6f7e9895ce88 · outbound

This paper cites Colin van Noordt and Gianluca Misuraca.

ByzFL: Research Framework for Robust Federated Learning Colin van Noordt and Gianluca Misuraca

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:15:46.982729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44b102e5-fa80-4b4d-90df-96525ff528fc · outbound

This paper cites URL https://doi.org/10.1177/0894439320980449.

ByzFL: Research Framework for Robust Federated Learning URL https://doi.org/10.1177/0894439320980449

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.806963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ca52ce-e02b-4fc9-9d27-63d3e7f602bd · outbound

This paper cites Federated Learning with Non-IID Data.

ByzFL: Research Framework for Robust Federated Learning Federated Learning with Non-IID Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.926303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043715b6-5de8-4712-a435-837806206941 · outbound

This paper cites doi: 10.1145/357172.357176.

ByzFL: Research Framework for Robust Federated Learning doi: 10.1145/357172.357176

Reference 1982

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.250120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a56506-8bb1-4e26-91b6-1d1e058a7fa2 · outbound

This paper cites Shenghui Li, Edith Ngai, Fanghua Ye, Li Ju, Tianru Zhang, and Thiemo Voigt.

ByzFL: Research Framework for Robust Federated Learning Shenghui Li, Edith Ngai, Fanghua Ye, Li Ju, Tianru Zhang, and Thiemo Voigt

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:15:47.259851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8bcfdaa-ea66-471d-ba78-df5f55f9ed00 · outbound

This paper cites an unresolved cited work.

ByzFL: Research Framework for Robust Federated Learning Unresolved cited work

Reference 2012

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:15:47.372720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41d9ec88-172a-42f0-a299-f7765c6e3063 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

ByzFL: Research Framework for Robust Federated Learning Flower: A Friendly Federated Learning Research Framework

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:44.704748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f113af-f67b-4ac5-ba20-9ef9f32be367 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

ByzFL: Research Framework for Robust Federated Learning TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:44.438781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf466db-8be0-4965-b3aa-fda54ccecefd · outbound

This paper cites Fall of empires: Breaking byzantine-tolerant SGD by inner product manipulation.

ByzFL: Research Framework for Robust Federated Learning Fall of empires: Breaking byzantine-tolerant SGD by inner product manipulation

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:15:46.834748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7975f2ee-515b-49ee-aa53-8712c69c72cd · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

ByzFL: Research Framework for Robust Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.054526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e33bc840-8b29-46ee-88df-29c10d82c341 · outbound

This paper cites FedML: A Research Library and Benchmark for Federated Machine Learning.

ByzFL: Research Framework for Robust Federated Learning FedML: A Research Library and Benchmark for Federated Machine Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:44.947535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f887d5e-c8c9-41d2-8a1f-da530602f244 · outbound

This paper cites doi: 10.1162/daed a 01861.

ByzFL: Research Framework for Robust Federated Learning doi: 10.1162/daed a 01861

Reference 2021

Resolution: malformed identifier; no resolver link, observed 2026-08-07T12:15:44.625132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1114795-ee6e-4836-8ef9-e97d7226a8d3 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

ByzFL: Research Framework for Robust Federated Learning PaLM: Scaling Language Modeling with Pathways

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:44.765501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ffd402-0f88-447a-9ef9-d1aa524a184e · outbound

This paper cites Towards Trustworthy Federated Learning with Untrusted Participants.

ByzFL: Research Framework for Robust Federated Learning Towards Trustworthy Federated Learning with Untrusted Participants

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:15:46.623048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation ce73b7d0-2f3e-494d-abe8-728c2206051e · inbound

Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning cites this paper.

Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning ByzFL: Research Framework for Robust Federated Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:19:21.638909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4183c166-4eb9-4385-9c97-d88f827c5e19 · inbound

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation cites this paper.

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation ByzFL: Research Framework for Robust Federated Learning

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:53:51.987128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e75e15f6-94cf-4810-9131-f911d6da1ce3 · inbound

Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness cites this paper.

Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness ByzFL: Research Framework for Robust Federated Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.166241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.