Pith. sign in

Paper Citation Record · LEDGER

Secure Federated Learning against Model Poisoning Attacks via Client Filtering

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.00160.

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

pith.paper-citation-record.v1
2304.00160 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:51.527107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:58:58.912640Z

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 7244f763-8e7e-4b29-bc7e-3360f6a92938 · inbound

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks cites this paper.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Secure Federated Learning against Model Poisoning Attacks via Client Filtering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:51.527107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:28:51.527107Z digest=sha256:8c29edfb94d6879c399dde7e8d84afcf45f940dae8c6436a5316c302e8d84584

Observation 94ab6797-9957-40e1-8ce7-e8183adca24b · inbound

Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers cites this paper.

Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers Secure Federated Learning against Model Poisoning Attacks via Client Filtering

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:58:58.916248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T19:56:34.081098Z digest=sha256:4671c0404b51e1ddf65de9a062f16164e291323ed135e01ce33a333333a45544