Paper Citation Record · LEDGER

Salvaging Federated Learning by Local Adaptation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2002.04758.

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

pith.paper-citation-record.v1
2002.04758 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:53.808870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:12:10.723184Z

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 a73aeed1-4d31-4641-a0b6-f139ee9d74ee · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning Salvaging Federated Learning by Local Adaptation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T23:36:53.808870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed6aa1a-ecc7-480e-8c65-714256ccd231 · inbound

Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study cites this paper.

Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study Salvaging Federated Learning by Local Adaptation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:44.609616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9998c98-518e-46c7-8ff2-483d3d69d3f2 · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Salvaging Federated Learning by Local Adaptation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:30.082217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d91e27c-0469-4ee5-9ce9-d262c112abea · inbound

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation cites this paper.

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Salvaging Federated Learning by Local Adaptation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:12:10.727001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc635d8b-3306-4607-a4cf-c37ff77d0d8a · inbound

Adaptive collaboration for online personalized distributed learning with heterogeneous clients cites this paper.

Adaptive collaboration for online personalized distributed learning with heterogeneous clients Salvaging Federated Learning by Local Adaptation

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:04:53.820788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d313c454-48af-4f48-9bee-a1d8c8493690 · inbound

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation cites this paper.

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation Salvaging Federated Learning by Local Adaptation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:51:03.783647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0191fc08-07eb-4a48-871a-850e3e63d55f · inbound

FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning cites this paper.

FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning Salvaging Federated Learning by Local Adaptation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:36:26.953918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.