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Paper Citation Record · LEDGER

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.10616.

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

pith.paper-citation-record.v1
2307.10616 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:25.818176Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

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 dc75073b-10a9-48ee-995b-179724698315 · inbound

Federated Causal Inference in Healthcare: Methods, Challenges, and Applications cites this paper.

Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T01:03:25.818176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:03:25.818176Z digest=sha256:bc5520396b2457e325bb5a42d553a58f73c3c357ab03e7f57d97536b89b0f741

Observation 396a8771-5031-4023-b257-a3cce67e0ca7 · inbound

FNBench: Benchmarking Robust Federated Learning against Noisy Labels cites this paper.

FNBench: Benchmarking Robust Federated Learning against Noisy Labels Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:39:29.898406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:39:29.289489Z digest=sha256:9fae719cf72420e6bca829cb56e4a4032db76a1a41baadf7f4fb88a2e045958f