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Paper Citation Record · LEDGER

pfl-research: simulation framework for accelerating research in Private Federated Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.06430.

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

pith.paper-citation-record.v1
2404.06430 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:58.248378Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3dec3547-3c63-411c-8cdb-dee20fece73f · inbound

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions cites this paper.

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions pfl-research: simulation framework for accelerating research in Private Federated Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:58.248378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:58.248378Z digest=sha256:99dc888decbe583a7ea63038c55efb2aba737dc061186651caa85a4f81034ca5

Observation eee5784f-f80c-47ef-8c01-7fb8c17a5e20 · inbound

Differentially Private Federated $k$-Means Clustering with Server-Side Data cites this paper.

Differentially Private Federated $k$-Means Clustering with Server-Side Data pfl-research: simulation framework for accelerating research in Private Federated Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:55:10.969809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:55:10.969809Z digest=sha256:30691a4806cbcf623c01a7d4187be9d01c841947491c2445eea4b20e9828b1c1

Observation 0b05aa2c-5b92-4ed0-88e7-df88d447687d · inbound

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature cites this paper.

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature pfl-research: simulation framework for accelerating research in Private Federated Learning

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-04T11:28:41.796595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T11:24:32.365964Z digest=sha256:6158940ed6ce6a9cd35bb8b126a000c83d074855ec3580e5b95a9fb7c0ddee5e