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Paper Citation Record · LEDGER

Federated Learning on Non-IID Data Silos: An Experimental Study

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.02079.

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

pith.paper-citation-record.v1
2102.02079 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:20.795118Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

82
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8d84fb4a-c071-4788-ae19-6cf762a36e35 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:20.795118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:20.795118Z digest=sha256:6ae48baf16c87eec75de5a08856ee55826ff65eed0e4d313af171be4a6f8b9cb

Observation 5ff7a6de-9535-4a02-9e9b-6f5938be6791 · inbound

Efficient Federated Learning with Timely Update Dissemination cites this paper.

Efficient Federated Learning with Timely Update Dissemination Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:31.681560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:31.681560Z digest=sha256:bb2cfb3b29d14db67f31cc4d08425ab3eda3bae7acd86dd0c4f16d10f93f92b2

Observation 675f2064-3b92-4c7f-8a08-8b34af5de9ae · inbound

Fairness in Federated Learning: Trends, Challenges, and Opportunities cites this paper.

Fairness in Federated Learning: Trends, Challenges, and Opportunities Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:20.365497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:16:20.365497Z digest=sha256:6b3fe17923725ce15ac29bfb6b0434e00a4c025feb4049aa8bd11cde99d8ddaa

Observation 040637f5-b230-481c-915c-24448b283fdb · inbound

Automating aggregation strategy selection in federated learning cites this paper.

Automating aggregation strategy selection in federated learning Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:35:40.313868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:32:03.728545Z digest=sha256:322d0fe0426c0bc0e2f51c92f122eb1d8f673b0f84e29f9a5b35e5508b00b3f6