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Paper Citation Record · LEDGER

Personalized Federated Learning with Contextualized Generalization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.13044.

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

pith.paper-citation-record.v1
2106.13044 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:24.368800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:34:57.787482Z

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 4b017b53-8b80-43bf-b168-0dd8a61662ed · inbound

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair cites this paper.

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair Personalized Federated Learning with Contextualized Generalization

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-12T04:46:24.368800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:46:24.368800Z digest=sha256:0cd045d203c1faf6c3e8ef77251e7c84a3427c636fa12bb9d2769671bcf712fd

Observation 65038b97-0210-44e8-ab35-e9c80f36653f · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Personalized Federated Learning with Contextualized Generalization

Reference 269

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:34:57.789871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:4adb7e44a11e4d8d8c7b1983254b768817512002d136999178ec01957dba736a