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Paper Citation Record · LEDGER

Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.00051.

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

pith.paper-citation-record.v1
2107.00051 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:40.261436Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:53:29.917548Z

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 2d38b919-456e-4877-a8f3-55d156e89b57 · inbound

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher cites this paper.

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:53:29.920521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:49:43.939791Z digest=sha256:669ccd57a8d2b26927410e69b9028f9faf10af61bc906a249e383f8ec21735d2

Observation cf4ae9cb-b856-41f3-81fe-fb3d53cd0abc · inbound

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation cites this paper.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:40.261436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:40.261436Z digest=sha256:efbee099a2a5f7ebf6dc15d1c6b494a0f9cb0f9592724224146de5a5be2c5715

Observation 261b58c8-33a6-4ab8-96fc-b62f6ba09f5f · inbound

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy cites this paper.

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 262

Resolution
unresolved
no resolver link, observed 2026-08-03T18:53:10.492953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T18:53:10.492953Z digest=sha256:bdcf642e04a2f3663c6d0dcfa57acad3fe00edd45db424a148ace86c6cf92bfe