Pith. sign in

Paper Citation Record · LEDGER

FedGH: Heterogeneous Federated Learning with Generalized Global Header

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.13137.

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

pith.paper-citation-record.v1
2303.13137 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:45:42.271265Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:10:24.099075Z

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 884a5d66-7d85-45e0-a2e5-ef48fbe78d3c · inbound

GeFL: Model-Agnostic Federated Learning with Generative Models cites this paper.

GeFL: Model-Agnostic Federated Learning with Generative Models FedGH: Heterogeneous Federated Learning with Generalized Global Header

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T04:45:42.271265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:45:42.271265Z digest=sha256:bbb8de59fb5c08cb632e92076348b325b96f562d407e40e66efa0f70ce5a3f7b

Observation 0d0afd0d-614a-4f78-8313-0f10c091e5b7 · inbound

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis cites this paper.

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis FedGH: Heterogeneous Federated Learning with Generalized Global Header

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:10:24.107153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:10:23.839405Z digest=sha256:80513c66f16ca1db36d3ebc954a452fe78ce4b0dd7f6461650b16c5ea5a000d5