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Paper Citation Record · LEDGER

On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.04723.

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

pith.paper-citation-record.v1
2206.04723 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:11.673034Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.675729Z

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 bcc71414-0216-41fc-8371-36c29967eaa1 · inbound

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments cites this paper.

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.678595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-23T20:39:27.646130Z digest=sha256:54d5c5439780f22d0df60c5d7812f75f57a989d30d36d531c212184777111e54

Observation 5c46a9b3-13e6-433a-a2b8-955276fc4e04 · inbound

Task Arithmetic Through The Lens Of One-Shot Federated Learning cites this paper.

Task Arithmetic Through The Lens Of One-Shot Federated Learning On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:11.673034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:09:11.673034Z digest=sha256:5d8c91958ef074a06a30485bdd6410ca5cec815c4eb86764ef13be4920867e36

Observation 17fcfc90-36da-4d52-a850-ee1730236330 · inbound

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression cites this paper.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T15:46:47.715859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:46:47.715859Z digest=sha256:7c9b914fd854e62553657b4b19c6e134869cc776106eb9baebc7042d995341ed

Observation d91e5015-7b9f-4a2e-aa17-a03311b434e1 · inbound

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:28.220246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:28.220246Z digest=sha256:b2e4e863c7b3517751d4e8fd13339c4c6cc0e5acc79944f20633e05c67a4d943

Observation b91e36e0-627c-4aff-af76-7b866ea35aa4 · inbound

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy cites this paper.

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 246

Resolution
unresolved
no resolver link, observed 2026-08-03T18:53:08.998640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T18:53:08.998640Z digest=sha256:32e08de5a5116f13d2dc0ddb91dc473446b9575852f77dab4981cd45597b1958

Observation 94606414-ef0b-4efa-a469-a8b6a066f6a1 · inbound

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity cites this paper.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.128102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.128102Z digest=sha256:1e23149a0a3494578f957d8dc06f41abf08d13980b4a16c5cb9ae8419e00e7f7