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Paper Citation Record · LEDGER

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.13256.

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

pith.paper-citation-record.v1
2204.13256 v4

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:57.696525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:20:23.458125Z

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 fcbf36af-0450-4503-8c7b-5fca9ee38b88 · inbound

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning cites this paper.

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T19:31:57.696525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:31:57.696525Z digest=sha256:ca0bf61ce2c401dc2bba4041be7fc968b4eb1338d3efb5c7b0eb3149b749b1fe

Observation 08270032-b270-469e-9116-774d70adf632 · inbound

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks cites this paper.

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:20:23.464015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T16:20:23.354912Z digest=sha256:06b64e86a0890c42219f76f43465fb17988e2bdc4c2a2ca633f2cdce2ea8dd6a