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Paper Citation Record · LEDGER

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.04144.

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

pith.paper-citation-record.v1
2403.04144 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:12:02.227762Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:32:23.266072Z

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 59aa3833-8226-4d8b-a067-541f45524050 · inbound

Incentive-Compatible Federated Learning with Stackelberg Game Modeling cites this paper.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T22:12:02.227762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:12:02.227762Z digest=sha256:f989f155f7a528db3f636f7021039d04ca3d8b9ba04a2e4848f119b084a27279

Observation 86ccbe82-bcb4-42a7-803d-3d0b4bef5915 · inbound

Clustered Federated Learning via Embedding Distributions cites this paper.

Clustered Federated Learning via Embedding Distributions FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

Reference 1985

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:23.271541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.020650Z digest=sha256:13cadf96a6c78dbea0e3880f5472695ef1c24b9f04893622c82fb88736e0816f