Pith. sign in

Paper Citation Record · LEDGER

PeFLL: Personalized Federated Learning by Learning to Learn

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.05515.

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

pith.paper-citation-record.v1
2306.05515 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:21:36.467346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:14:00.229243Z

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 6e99df09-374f-486b-8ac1-f43cda91e9e0 · inbound

Federated Learning with Nonvacuous Generalisation Bounds cites this paper.

Federated Learning with Nonvacuous Generalisation Bounds PeFLL: Personalized Federated Learning by Learning to Learn

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:14:00.232003Z

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=arxiv_source observed=2026-05-24T06:09:45.249831Z digest=sha256:1b6977c78162aef2756adec6cd0f2012adf1e856ed59983c2a2bc8d15820184b

Observation 09d41976-dc80-49f8-b3da-dd56037bc010 · inbound

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions cites this paper.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions PeFLL: Personalized Federated Learning by Learning to Learn

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T19:21:36.467346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:21:36.467346Z digest=sha256:f11147aec9a2e03cfcde87bf694c1ce1bba81011744095c0ffc2e503df0d194f