Pith. sign in

Paper Citation Record · LEDGER

Maximizing Global Model Appeal in Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.14840.

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

pith.paper-citation-record.v1
2205.14840 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:53.677220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:33:42.293021Z

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 23c7a5ba-0a0a-443d-a9d6-097cc9bab451 · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning Maximizing Global Model Appeal in Federated Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:53.677220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:36:53.677220Z digest=sha256:d733f4f68fc13dc59ff57b25d408260ad20a83e6d70cdc2c8844dd711137f70e

Observation 09b7e626-5ff7-4216-9854-81b40830fd27 · inbound

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems cites this paper.

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems Maximizing Global Model Appeal in Federated Learning

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:33:42.296139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T19:30:13.469451Z digest=sha256:64ea0443ff67e95647dc755f65fa377c58816d267d00959d25b2d938a7ed0553