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Paper Citation Record · LEDGER

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.10655.

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

pith.paper-citation-record.v1
2307.10655 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:51:57.291941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.301248Z

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 aa1a9e78-e6bd-4a93-b740-aca6e36f9b3d · inbound

One-shot Federated Learning via Synthetic Distiller-Distillate Communication cites this paper.

One-shot Federated Learning via Synthetic Distiller-Distillate Communication A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T20:56:33.795769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:56:33.795769Z digest=sha256:a4d9a7f30e3355dc880f01fc1ef6262fb77e781a90ded8887af424a1299be5cc

Observation 2ae71d60-1c20-49ea-a49b-fbf99995dc68 · inbound

Federated Learning from Molecules to Processes: A Perspective cites this paper.

Federated Learning from Molecules to Processes: A Perspective A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T18:51:57.291941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:51:57.291941Z digest=sha256:b8c7c31dfcc10b64f9b4c90838f6ddb682664f75ab43d91ea18cdd86ad25990f

Observation 6507f1bb-02ff-48c3-90cb-0eff64f76a10 · inbound

Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids cites this paper.

Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:16:24.466669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T13:14:16.203867Z digest=sha256:a8c26544ed68d2ddb9eafd8e66e5ccc57e6d80dd9f6683669550293e4fc9c282

Observation 40ffd2f6-f9b9-4e81-b8de-477e931e5efe · inbound

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility cites this paper.

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:00:48.664905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T02:56:38.973027Z digest=sha256:ce86c6c82861b256bbec31edf2ecdd1eaa85374c9da61a4f5c2fe0fc5f67e383

Observation 4c725e69-9a68-4137-9c93-9cd7593d3e36 · inbound

Quantization in Federated Learning: Methods, Challenges and Future Directions cites this paper.

Quantization in Federated Learning: Methods, Challenges and Future Directions A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:51.303060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T04:56:12.424439Z digest=sha256:872c229b7f47fcfa0a8cc8ae65796453c93c314d92be8a01d0a0e1dda4013c2c