Pith. sign in

Paper Citation Record · LEDGER

Federated Learning Priorities Under the European Union Artificial Intelligence Act

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.05968.

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

pith.paper-citation-record.v1
2402.05968 v1

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:17.177683Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:00:56.850700Z

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 1a2f3743-3c37-4bc4-8450-95eac92b50fc · inbound

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding cites this paper.

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding Federated Learning Priorities Under the European Union Artificial Intelligence Act

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:00:56.858010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T23:00:56.499240Z digest=sha256:43d2d8a1cf109104b30e5a536428fdc07c6da4c346dbda184069d922df8898e2

Observation 93efd008-b292-4f7c-9bee-cb3d952d969f · inbound

Bayesian Robust Aggregation for Federated Learning cites this paper.

Bayesian Robust Aggregation for Federated Learning Federated Learning Priorities Under the European Union Artificial Intelligence Act

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T00:59:17.177683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:59:17.177683Z digest=sha256:d119e2d95bb64fd0958dd8e9e198b1dc05a8ca4d1fb41a059f33341dbf80691d

Observation 3ec16d37-9f9f-49d9-85ba-84e71daa551b · inbound

Federated Learning from Molecules to Processes: A Perspective cites this paper.

Federated Learning from Molecules to Processes: A Perspective Federated Learning Priorities Under the European Union Artificial Intelligence Act

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-15T18:51:57.977598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:51:57.977598Z digest=sha256:ae23635839114f0b43a1a8e200a5e4397ccf294e0a5d6aed3eda2e7506fc0fa7