Paper Citation Record · LEDGER

Mitigating Sybils in Federated Learning Poisoning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:1808.04866.

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

pith.paper-citation-record.v1
1808.04866 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:22:03.765421Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

362
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9359cd29-260d-4d89-8c71-5966f040d591 · inbound

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning cites this paper.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.015592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0393d475-4426-4410-8566-4b1c9a265d08 · inbound

Poisoning with A Pill: Circumventing Detection in Federated Learning cites this paper.

Poisoning with A Pill: Circumventing Detection in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:55:51.477978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 08fac124-7217-4fac-9198-838b88c7626e · inbound

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning cites this paper.

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T17:25:43.810989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c109ca5-d282-4793-8cb7-f30ddb6df90e · inbound

A Survey on Federated Learning in Human Sensing cites this paper.

A Survey on Federated Learning in Human Sensing Mitigating Sybils in Federated Learning Poisoning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:58.829182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5cf528a-5361-42e1-929c-938b47fac33f · inbound

DROP: Poison Dilution via Knowledge Distillation for Federated Learning cites this paper.

DROP: Poison Dilution via Knowledge Distillation for Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T14:06:54.655391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc7e7e0-3bc6-4813-b71f-bb094eded861 · inbound

LiveVal: Time-aware Data Valuation via Adaptive Reference Points cites this paper.

LiveVal: Time-aware Data Valuation via Adaptive Reference Points Mitigating Sybils in Federated Learning Poisoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T19:23:47.766725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5f1143-2f00-4cdb-b0c1-956107815f16 · inbound

Federated Learning for Cyber Physical Systems: A Comprehensive Survey cites this paper.

Federated Learning for Cyber Physical Systems: A Comprehensive Survey Mitigating Sybils in Federated Learning Poisoning

Reference 229

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:03.765421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e14e23e-975a-46c9-8c9b-4117b29df6d2 · inbound

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption cites this paper.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Mitigating Sybils in Federated Learning Poisoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.109559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3361fdc1-32bd-43a6-adef-1f591c57432e · inbound

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning cites this paper.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:08.345131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2892f04-b55b-4f2e-8481-e9b289d41c66 · inbound

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints cites this paper.

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints Mitigating Sybils in Federated Learning Poisoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:31:56.742421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b0bb8f5-f2eb-49f5-bd66-87ce00e78300 · inbound

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks cites this paper.

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Mitigating Sybils in Federated Learning Poisoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:23.326364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d55f92-2772-442f-8bea-b3b52f7a1ac2 · inbound

Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs cites this paper.

Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs Mitigating Sybils in Federated Learning Poisoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T16:51:54.733817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 978d045d-144e-4e86-b04d-24cac16b8953 · inbound

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning cites this paper.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T13:34:01.757364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56bbfcb8-492a-4c28-8c64-033f3923b16f · inbound

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats cites this paper.

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats Mitigating Sybils in Federated Learning Poisoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:28:47.075674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2257ba96-a839-40db-a240-08c39ce708fa · inbound

Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning cites this paper.

Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning Mitigating Sybils in Federated Learning Poisoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T11:04:50.962581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a94c6ea-2422-41d3-a72e-eacf9fb64fba · inbound

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning cites this paper.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:48.209198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621f9c75-e2c6-4568-8773-d0c64238eed6 · inbound

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers cites this paper.

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers Mitigating Sybils in Federated Learning Poisoning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:40:59.856951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75f51b11-4333-4119-8fe3-cfeda7d43575 · inbound

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement cites this paper.

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement Mitigating Sybils in Federated Learning Poisoning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:37:07.899438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d048287-c5d3-4bd3-bae7-1c805e8d7e54 · inbound

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions cites this paper.

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions Mitigating Sybils in Federated Learning Poisoning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:42:57.491891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ccd845ee-272b-4311-9d0d-144e26a7e242 · inbound

FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs cites this paper.

FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs Mitigating Sybils in Federated Learning Poisoning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.395768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 166863ca-44e7-47a2-bfb3-54843479a406 · inbound

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation cites this paper.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Mitigating Sybils in Federated Learning Poisoning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.689241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 98d61112-0d7c-4858-8ca9-ce2750edc24a · inbound

Secure Decentralized Federated Learning via Gossip and Virtual Voting cites this paper.

Secure Decentralized Federated Learning via Gossip and Virtual Voting Mitigating Sybils in Federated Learning Poisoning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-10T04:06:44.543695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a11bbcc-d436-4dec-9b48-9ddde231c2bb · inbound

Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning cites this paper.

Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:46:01.834162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.