Paper Citation Record · LEDGER

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.11167.

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

pith.paper-citation-record.v1
2501.11167 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:38:28.731688Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82b74b20-283a-4bd8-a54b-c0a0f8dd4c44 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.659840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e59b23a-7258-4d0d-9471-a02dffb02997 · outbound

This paper cites Tifl: A tier-based federated learning system,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Tifl: A tier-based federated learning system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:38:29.230401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7da27ef-50bd-48b6-ad5c-f89f35079331 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.676710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957d0421-2d49-478c-922c-8adeb209ccdf · outbound

This paper cites Advances and open problems in federated learning,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Advances and open problems in federated learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.682550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74c4cfd-e383-4180-94b4-07fd699e44aa · outbound

This paper cites Local Adaptivity in Federated Learning: Convergence and Consistency.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Local Adaptivity in Federated Learning: Convergence and Consistency

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.688200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786dd87f-2446-4ce6-9562-af1a5669532f · outbound

This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.695348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c2d030-af7b-4024-ba59-7c3c5e153561 · outbound

This paper cites Wireless communications for collaborative federated learning,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Wireless communications for collaborative federated learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:38:29.106121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9a8a79e-4e99-43dc-a0a1-838d918fd56a · outbound

This paper cites FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:38:29.084762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4c2a616-dc56-4996-9871-b20ea0fbe113 · outbound

This paper cites Dive into Deep Learning.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Dive into Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.714337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a60bbee-9419-496d-8160-23bb58b5582d · outbound

This paper cites Learning with bad training data via iterative trimmed loss minimization,.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Learning with bad training data via iterative trimmed loss minimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:38:29.017802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f96c715d-2841-4b58-9674-7055809d0324 · outbound

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

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.725471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625a11de-094f-4bd1-a882-cd875763a363 · outbound

This paper cites Oracle-MNIST: a Dataset of Oracle Characters for Benchmarking Machine Learning Algorithms.

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning Oracle-MNIST: a Dataset of Oracle Characters for Benchmarking Machine Learning Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:38:28.731688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.