Paper Citation Record · LEDGER

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels

As of 16 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.00452.

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

pith.paper-citation-record.v1
2412.00452 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:16.377276Z

measured 39 of 39 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 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 fuzzy2
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a1775a6-ec76-4e24-9df1-22c53e140cf2 · outbound

This paper cites O’Connor, and Kevin McGuinness.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels O’Connor, and Kevin McGuinness

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.178583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f43ec152-5321-4c9f-9dc3-8c9e272fe8ce · outbound

This paper cites Kanwal, Tegan Maharaj, Asja Fischer, Aaron C.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Kanwal, Tegan Maharaj, Asja Fischer, Aaron C

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.184404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3713e3-5470-45de-8d13-5e05cb9f96a1 · outbound

This paper cites Goodfellow, Nico- las Papernot, Avital Oliver, and Colin Raffel.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Goodfellow, Nico- las Papernot, Avital Oliver, and Colin Raffel

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.189898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19f4247-49f9-4678-9e6f-76082e06b418 · outbound

This paper cites Exploring Simple Siamese Representation Learning.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Exploring Simple Siamese Representation Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.194935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2df9f26-6d91-47c7-b1ae-84b9603c89fb · outbound

This paper cites Learning with Instance-Dependent La- bel Noise: A Sample Sieve Approach.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Learning with Instance-Dependent La- bel Noise: A Sample Sieve Approach

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.199822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ffc3b9-e9a7-46f7-86e9-c8af8d7a29ce · outbound

This paper cites RandAugment: Practical Automated Data Augmenta- tion with a Reduced Search Space.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels RandAugment: Practical Automated Data Augmenta- tion with a Reduced Search Space

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.204562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d3d769-2a10-422a-abe5-371b1c7bc471 · outbound

This paper cites Tsang, and Masashi Sugiyama.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Tsang, and Masashi Sugiyama

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.209917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4ee217-e3a5-489b-aaa0-0f0649b9ae85 · outbound

This paper cites Deep residual learning for image recognition.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Deep residual learning for image recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.214556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc95955c-e763-4cc2-97e7-8f295bbe682d · outbound

This paper cites Ball, Katie S.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Ball, Katie S

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.219471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32833b8-5f90-4efb-ae18-64dcd7f326e2 · outbound

This paper cites FedFixer: Mitigating Hetero- geneous Label Noise in Federated Learning.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedFixer: Mitigating Hetero- geneous Label Noise in Federated Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.224343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c6e24f8-0b4c-4557-a961-134b9c763f98 · outbound

This paper cites To- wards Federated Learning against Noisy Labels via Local Self-Regularization.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels To- wards Federated Learning against Noisy Labels via Local Self-Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.230056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e52b66-8e6c-45b4-bda6-3e8e0de9ab0f · outbound

This paper cites Tack- ling Noisy Clients in Federated Learning with End-to-end Label Correction.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Tack- ling Noisy Clients in Federated Learning with End-to-end Label Correction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.236339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aebaf84-bf2f-46fc-a915-6c466b6e91d1 · outbound

This paper cites Makowski, Daniel Rueckert, and Rickmer Braren.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Makowski, Daniel Rueckert, and Rickmer Braren

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.241480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8dbc09-6fa0-47f7-b835-521392ac7d10 · outbound

This paper cites FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.246327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13222e19-6c30-46b7-aa47-9e281078329f · outbound

This paper cites Learning multiple layers of features from tiny images.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Learning multiple layers of features from tiny images

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.251712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7e8561-a040-4cf3-a432-26acccfeb3c9 · outbound

This paper cites an unresolved cited work.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.256417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f250919f-4ea8-47f9-bd43-7529d559f838 · outbound

This paper cites FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.262743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f358d0-76d8-410d-8089-644cddcf945e · outbound

This paper cites Fed- erated learning on non-iid data silos: An experimental study.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Fed- erated learning on non-iid data silos: An experimental study

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.267897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec900cb-ba5f-42fa-8f34-d8efe50d0e59 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Federated Optimization in Heterogeneous Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.273384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50165d8-7cd1-4770-94b5-de2d950a1c13 · outbound

This paper cites Provably End-to-end Label-noise Learning with- out Anchor Points.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Provably End-to-end Label-noise Learning with- out Anchor Points

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.279073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635b90da-b089-45d8-ae61-fb2488480c12 · outbound

This paper cites Federated Learn- ing with Extremely Noisy Clients via Negative Distillation.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Federated Learn- ing with Extremely Noisy Clients via Negative Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.284096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4e43de-54d8-42a8-ba43-f4ecb8f3bfe1 · outbound

This paper cites Dick, and Akhil Mathur.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Dick, and Akhil Mathur

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.289815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fdb3bd6-bc20-49ab-9835-14b117114c36 · outbound

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

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Communication- Efficient Learning of Deep Networks from Decentralized Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.294887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1c2c92-392f-42ed-9f70-ee743475b540 · outbound

This paper cites Deep Learning is Robust to Massive Label Noise.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Deep Learning is Robust to Massive Label Noise

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.299688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43db64e0-24fe-43bf-95d6-6cf1aa4fc9b7 · outbound

This paper cites FixMatch: Simplifying Semi- Supervised Learning with Consistency and Confidence.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FixMatch: Simplifying Semi- Supervised Learning with Consistency and Confidence

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.305731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d514ed-86d5-47f4-adb1-56fe22b5da37 · outbound

This paper cites Learning From Noisy Labels With Deep Neural Networks: A Survey.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Learning From Noisy Labels With Deep Neural Networks: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.310764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe61fb0-c92b-4d35-9a10-1d07dcabca5c · outbound

This paper cites A Survey on Federated Recommendation Systems.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels A Survey on Federated Recommendation Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.316175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccec7c2f-3dcc-4789-b949-b92838df639f · outbound

This paper cites FedCoop: Cooperative Federated Learning for Noisy Labels.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedCoop: Cooperative Federated Learning for Noisy Labels

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.321892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels.

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 f8e7d467-f434-4bec-842a-476119072d30 · outbound

This paper cites FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.331949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af758b6-4359-43d8-abfb-31b967440045 · outbound

This paper cites ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels ProMix: Combating Label Noise via Maximizing Clean Sample Utility

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.336573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e964aab-bd6a-4885-9f76-c7f39e908506 · outbound

This paper cites Learning from massive noisy labeled data for image classification.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Learning from massive noisy labeled data for image classification

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.341682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416f3f05-a9c1-491b-bf87-4c302cdc98de · outbound

This paper cites an unresolved cited work.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.346818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a9d925f-f8de-4cbe-868e-65cb55be2538 · outbound

This paper cites Robust Federated Learning With Noisy La- bels.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Robust Federated Learning With Noisy La- bels

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.351680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea48567c-dd6b-4c57-954a-e50224469cf2 · outbound

This paper cites Tsang, and Masashi Sugiyama.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Tsang, and Masashi Sugiyama

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.356150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba48851-e044-400b-bb21-94c1ded026bd · outbound

This paper cites Understanding deep learning requires rethinking generalization.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Understanding deep learning requires rethinking generalization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.361433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7716c118-4c0b-461b-a1b4-5e0bde4f9a6f · outbound

This paper cites BadLabel: A Robust Per- spective on Evaluating and Enhancing Label-Noise Learning.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels BadLabel: A Robust Per- spective on Evaluating and Enhancing Label-Noise Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:16.366203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee83a905-eadd-4a8b-9c6f-0db37c6578e9 · outbound

This paper cites Federated Label-Noise Learning with Local Diversity Product Regularization.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Federated Label-Noise Learning with Local Diversity Product Regularization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:30:16.479134Z

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 d28964b1-2d9e-474e-896f-ba7572a67678 · outbound

This paper cites server → client.

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels server → client

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:30:16.460160Z

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.

Pith citing papers

No inbound Pith citation observations are available.