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Paper Citation Record · LEDGER

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.05874.

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

pith.paper-citation-record.v1
2411.05874 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:54:38.016341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:34:57.792247Z

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 d788201b-8571-4d42-a2bb-3b14d1a1c143 · inbound

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

A Survey on Foundation Models for Personalized Federated Intelligence Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

Reference 237

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:34:57.794371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:0c4357a3055cc2a4ce206763cbafeb3261645b9c8db268e721a8e93c2bd9a5c7

Observation 7c2ad7da-b880-4255-970a-8037d1ec82f2 · inbound

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation cites this paper.

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T13:54:38.016341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:38.016341Z digest=sha256:b676fe7b659c2e6029ac1a6f50c6fd210e4d0f0ba87421e694a9f2e7a7264ed2