Paper Citation Record · LEDGER

FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.10110.

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

pith.paper-citation-record.v1
2205.10110 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:16.327183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:32:44.124434Z

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 ad943a29-121e-41c9-a5cb-b8f4ad3fab5b · inbound

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels cites this paper.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:32:44.128233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ee43c68-fdc0-445a-97b4-f653c0080043 · inbound

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels cites this paper.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.327183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0d244a-e77f-4725-883e-50173590ea53 · inbound

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise cites this paper.

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:20.517112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d1caeb-fa30-4b18-8df1-982df52df3f0 · inbound

SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels cites this paper.

SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:22:01.921120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.