Paper Citation Record · LEDGER

Knowledge Distillation in Federated Edge Learning: A Survey

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.05849.

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

pith.paper-citation-record.v1
2301.05849 v3

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:29.296687Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:12:39.840193Z

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 a1248780-0298-4916-bf8c-7af99def22bc · inbound

Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration cites this paper.

Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Knowledge Distillation in Federated Edge Learning: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:48:56.773327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936f42ac-835e-4862-8a6c-b7d0b8bfb36a · inbound

FNBench: Benchmarking Robust Federated Learning against Noisy Labels cites this paper.

FNBench: Benchmarking Robust Federated Learning against Noisy Labels Knowledge Distillation in Federated Edge Learning: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:39:29.296687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940fb2e9-2ad7-444a-8eee-f61c0f08aab9 · inbound

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation cites this paper.

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation Knowledge Distillation in Federated Edge Learning: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:47.810634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbe0f50-7cc9-41be-a27c-b0b2416042d5 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Knowledge Distillation in Federated Edge Learning: A Survey

Reference 224

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:12:39.846276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.