Paper Citation Record · LEDGER

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.16403.

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

pith.paper-citation-record.v1
2505.16403 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:54.393518Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy32
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fb94f65-1ee3-44f5-addd-efe31d061566 · outbound

This paper cites Robust control of continuum robots using Cosserat rod theory.Mechanism and Machine Theory, 131:48–61, January.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Robust control of continuum robots using Cosserat rod theory.Mechanism and Machine Theory, 131:48–61, January

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.326375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cc989cf-9e61-45ce-b4f2-9d9cf27927e9 · outbound

This paper cites Ana- lyzing Federated Learning through an Adversarial Lens, November.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Ana- lyzing Federated Learning through an Adversarial Lens, November

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.298175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b881ebaf-c650-4fbc-aebf-7f0446b2edc8 · outbound

This paper cites Analyzing Federated Learning through an Adversarial Lens.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Analyzing Federated Learning through an Adversarial Lens

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:06:54.581917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a48a91fa-7a35-44e7-812d-f5cdb10242ff · outbound

This paper cites Park, and Li Ma.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Park, and Li Ma

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.256385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a066a0a-c17f-4d13-af88-443e9d5a2775 · outbound

This paper cites In terms of running time, FedSA takes more time due to its more complex optimization process.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach In terms of running time, FedSA takes more time due to its more complex optimization process

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:54.740210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5309fc7-2dc3-4981-9b50-2d2ae188394a · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:52.401001Z

Source-reported events for the cited work

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Observation 3f2cee06-d66a-48b7-85b8-1a3f9347fa69 · outbound

This paper cites Finite-time stabilization of stochas- tic nonlinear systems in strict-feedback form.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Finite-time stabilization of stochas- tic nonlinear systems in strict-feedback form

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.190679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd7a5d37-9fd5-4835-93d6-aa76fd195833 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Tiny imagenet visual recognition challenge

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7a7915-7502-469e-9ec8-0efb7e076542 · outbound

This paper cites [Mahloujifar et al., 2019] Saeed Mahloujifar, Mohammad Mahmoody, and Ameer Mohammed.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach [Mahloujifar et al., 2019] Saeed Mahloujifar, Mohammad Mahmoody, and Ameer Mohammed

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.152074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9196a0c-a473-48c2-9d38-ee733d5e60c0 · outbound

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

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.142177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f46a4b5b-0650-45ea-8f76-4ff0f2d8d8fd · outbound

This paper cites The Hidden Vulnerabil- ity of Distributed Learning in Byzantium, July.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach The Hidden Vulnerabil- ity of Distributed Learning in Byzantium, July

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.132616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1792798-0dce-4c09-8bd1-ea2d47ec1fbd · outbound

This paper cites The Hidden Vulnerability of Distributed Learning in Byzantium.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach The Hidden Vulnerability of Distributed Learning in Byzantium

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:53.020848Z

Source-reported events for the cited work

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Observation b635ff2c-2eff-4d78-9cfe-87f90684c421 · outbound

This paper cites Manipulating the Byzantine: Optimiz- ing Model Poisoning Attacks and Defenses for Federated Learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Manipulating the Byzantine: Optimiz- ing Model Poisoning Attacks and Defenses for Federated Learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.123173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ed58c37-32f0-49dd-b349-bc1d36dddae6 · outbound

This paper cites Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Lo- cal Update Amplification.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Lo- cal Update Amplification

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.112450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ee1be44-1aa9-48b7-9977-75d4200708c2 · outbound

This paper cites [Sun et al., 2019] Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, and H.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach [Sun et al., 2019] Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, and H

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.102437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 094cabbc-7bd1-42a6-94dd-a71d0508035f · outbound

This paper cites Can You Really Backdoor Federated Learning?.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Can You Really Backdoor Federated Learning?

Reference 28

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Source-reported events for the cited work

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Observation e2da1e1e-bf6e-4b80-a91c-587bd6ec4fac · outbound

This paper cites Learning feature pyramids for human pose estimation.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Learning feature pyramids for human pose estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.093276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1ceed7a-4691-42b8-b2c4-4d16ef4ec4e2 · outbound

This paper cites Finite-time stability and instability of stochastic nonlinear systems.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Finite-time stability and instability of stochastic nonlinear systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.083910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bfbaa9ad-353c-4011-b02a-0f39d73914a2 · outbound

This paper cites Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:53.735458Z

Source-reported events for the cited work

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Observation da3ccd56-e1fb-464f-a8ef-fd19ae0567ef · outbound

This paper cites En- abling privacy-preserving sharing of genomic data for gwass in decentralized networks.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach En- abling privacy-preserving sharing of genomic data for gwass in decentralized networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.046732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 564e29d1-d00b-4566-aa7f-7e0d920ca5e7 · outbound

This paper cites Privcoll: Practical privacy-preserving collaborative machine learn- ing.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Privcoll: Practical privacy-preserving collaborative machine learn- ing

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:55.921464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c903801c-7afe-49df-9ef0-c498b7552ea2 · outbound

This paper cites A survey on federated learn- ing.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach A survey on federated learn- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:55.738556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36daf518-a46f-4173-a08e-28bf91b52acb · outbound

This paper cites Denial-of-service or fine-grained control: Towards flexible model poisoning attacks on federated learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Denial-of-service or fine-grained control: Towards flexible model poisoning attacks on federated learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:55.533990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0c4b332-0979-492b-a2c3-35feba24aedf · outbound

This paper cites an unresolved cited work.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:06:55.302646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0813fc18-9bd1-45d4-908a-e1336ebbc4d7 · outbound

This paper cites Datasets • CIFAR10 [Krizhevsky, 2009].

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Datasets • CIFAR10 [Krizhevsky, 2009]

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:54.964124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdd58db4-6204-42e5-9977-00c4e87f8fec · outbound

This paper cites Terminal Sliding Mode Control – An Overview.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Terminal Sliding Mode Control – An Overview

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.063840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97328e67-83f9-4ed4-b6b7-c72ccefa1108 · outbound

This paper cites The MNIST Database of Handwrit- ten Digit Images for Machine Learning Research [Best of the Web].

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach The MNIST Database of Handwrit- ten Digit Images for Machine Learning Research [Best of the Web]

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.277056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc273268-bcb0-47d6-9a36-e71facf976eb · outbound

This paper cites Byzantine-Robust Dis- tributed Learning: Towards Optimal Statistical Rates, February.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Byzantine-Robust Dis- tributed Learning: Towards Optimal Statistical Rates, February

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.073945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f45ebb15-2466-4775-a5bd-58c574b53d5b · outbound

This paper cites [Fang et al., 2020] Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Gong.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach [Fang et al., 2020] Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Gong

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.266928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04f49023-e62a-4f73-ab6c-c881bf3cf6fe · outbound

This paper cites Krizhevsky.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Krizhevsky

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.179724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0166140a-f691-4264-8d61-35a8dfa2aafd · outbound

This paper cites DSP-Based Sliding-Mode Control for Electromagnetic-Levitation Precise-Position System.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach DSP-Based Sliding-Mode Control for Electromagnetic-Levitation Precise-Position System

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.162973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c7ec271-f6aa-4dca-b713-b6133a083ddb · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping, April.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping, April

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.287819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f1423ec-6879-4743-bae9-9de79c59be5d · outbound

This paper cites [Jebreel and Domingo-Ferrer, 2023] Najeeb Moharram Je- breel and Josep Domingo-Ferrer.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach [Jebreel and Domingo-Ferrer, 2023] Najeeb Moharram Je- breel and Josep Domingo-Ferrer

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.212731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cf4b5d7-1846-41b4-af8d-b9bf79cde64e · outbound

This paper cites How To Backdoor Federated Learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach How To Backdoor Federated Learning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.316528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45fb1856-5e66-4c11-b1a1-c6d8993c90ad · outbound

This paper cites A Little Is Enough: Circumventing De- fenses For Distributed Learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach A Little Is Enough: Circumventing De- fenses For Distributed Learning

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.307570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1398e35b-9ded-4839-b6cc-cf470bdc5c35 · outbound

This paper cites Agramplifier: Defending federated learning against poisoning attacks through local update amplifica- tion.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Agramplifier: Defending federated learning against poisoning attacks through local update amplifica- tion

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.246704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b7c71f3-9f62-4dee-aeb9-150bf6d2975f · outbound

This paper cites Learning from History for Byzan- tine Robust Optimization, June.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Learning from History for Byzan- tine Robust Optimization, June

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.202549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8637007-0384-478f-aedb-fbad69060c7b · outbound

This paper cites Not all edges are equally robust: Evaluating the robustness of ranking-based federated learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Not all edges are equally robust: Evaluating the robustness of ranking-based federated learning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.235759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1683d867-309a-4383-89b4-e4c548d1f445 · outbound

This paper cites Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:56.223919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.