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Paper Citation Record · LEDGER

Federated Distillation: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.08564.

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

pith.paper-citation-record.v1
2404.08564 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:40:43.227597Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T05:42:36.298886Z

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 290be620-a95e-456a-90f7-7e2973580184 · inbound

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection cites this paper.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated Distillation: A Survey

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:42:36.302157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T05:40:43.227597Z digest=sha256:b96be6235193ca4b5ed4f6e087767ad4c7eac3b077d1b369297a4e99722f2be7

Observation af14d610-08ed-4554-a93c-904c6016cc53 · inbound

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data cites this paper.

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data Federated Distillation: A Survey

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:50:43.406642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T22:48:07.055927Z digest=sha256:4523ec5a32cc5d6d0c37a1b12cc73177af1c7c4874cd44e831c75c1a9ef88fa0

Observation 8da1a99c-3ca6-456f-8b3c-7c6eec5fcf14 · inbound

Enhancing Robustness of Federated Learning via Server Learning cites this paper.

Enhancing Robustness of Federated Learning via Server Learning Federated Distillation: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:12.975948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:05:19.926889Z digest=sha256:387549d6d06b00d7051b2ea86248105f76ea224af43f50203c1166a71f06d9ff

Observation f82b4da0-c0b3-4fde-ab5b-77afb70b191a · inbound

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models cites this paper.

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models Federated Distillation: A Survey

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:07:54.811416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T01:03:22.678982Z digest=sha256:dba0703461d5c4ef33179d079fe75aa6eab689f91a2b8c94b240fc697ed0da06