Pith. sign in

Paper Citation Record · LEDGER

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.09262.

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

pith.paper-citation-record.v1
2206.09262 v6

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:09:55.294086Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:09:55.351624Z

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 93ea0c4f-c97d-44c0-a934-c209b2bfed50 · inbound

Differentially Private Federated Clustering with Random Rebalancing cites this paper.

Differentially Private Federated Clustering with Random Rebalancing Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:09:55.357102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:09:55.294086Z digest=sha256:adf24ad9456b854456862c130bd81ae1d6e349aebfb66e44c37b953806d2a646

Observation e74e5101-2546-4007-9768-671f1a6c3248 · inbound

An Efficient Evolutionary Algorithm for Few-for-Many Optimization cites this paper.

An Efficient Evolutionary Algorithm for Few-for-Many Optimization Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:03.571473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:03.571473Z digest=sha256:cf5363d3e60a14df9d7cc52713b3681b902d3ddbb4fe86936d7519d2c0ed42c9