Paper Citation Record · LEDGER

Threats to Federated Learning: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2003.02133.

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

pith.paper-citation-record.v1
2003.02133 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:04.932850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:40:28.591175Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e70c15b0-1fe3-4ee2-8d92-699a0bd154f4 · inbound

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

Poisoning with A Pill: Circumventing Detection in Federated Learning Threats to Federated Learning: A Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:55:51.466961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9beb305-7edd-49a4-aaa2-ddff92932113 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Threats to Federated Learning: A Survey

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:34:57.738285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73ba0dd2-0dcf-407e-86e9-518d7e4bbe8f · inbound

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction cites this paper.

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction Threats to Federated Learning: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:04.932850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6efb28a6-29bf-4099-86f8-cc1dabcc10f0 · inbound

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning cites this paper.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Threats to Federated Learning: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:28.346257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d05c85-9a86-408e-8cd4-803ce60a7fbe · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI Threats to Federated Learning: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:55.194066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b5ef8d4-baa1-4ce1-a1c5-7b73bdf0cf26 · 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 Threats to Federated Learning: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:23.280461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a051423-3789-408f-a292-de738e1c0fcd · 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 Threats to Federated Learning: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:33:59.113383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e51fe9-58b8-429e-8cf5-dee8d4331002 · inbound

Are Targeted Data Poisoning Attacks as Effective as We Think? cites this paper.

Are Targeted Data Poisoning Attacks as Effective as We Think? Threats to Federated Learning: A Survey

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:28.594550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ad3b3c4-9b26-4b92-b60d-8a7def49226c · inbound

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning cites this paper.

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning Threats to Federated Learning: A Survey

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:10:10.988678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ae6b9d5-98bb-42cf-b3b2-752c23737419 · inbound

Distributed Deep Variational Approach for Privacy-preserving Data Release cites this paper.

Distributed Deep Variational Approach for Privacy-preserving Data Release Threats to Federated Learning: A Survey

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:06:04.864291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d3538a8-fad5-4b2d-bcb1-0661c8c3fc73 · inbound

On the Fragility of Data Attribution When Learning Is Distributed cites this paper.

On the Fragility of Data Attribution When Learning Is Distributed Threats to Federated Learning: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:17:39.421034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2db1ce53-35f4-4d1e-87e4-d86d7252ac87 · inbound

SoK: Federated Learning for Intrusion Detection in Vehicular Networks cites this paper.

SoK: Federated Learning for Intrusion Detection in Vehicular Networks Threats to Federated Learning: A Survey

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T08:20:27.345797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411123cc-65f6-4664-a612-d389a2c76d0d · inbound

Integrity of peer-to-peer distributed LLM inference under malicious nodes cites this paper.

Integrity of peer-to-peer distributed LLM inference under malicious nodes Threats to Federated Learning: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T12:42:13.825124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.