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Paper Citation Record · LEDGER

Communication Efficient Federated Learning for Generalized Linear Bandits

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.01087.

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

pith.paper-citation-record.v1
2202.01087 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:21:11.716491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:05:22.595438Z

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 a70c0880-247f-4b88-bd8f-42edf1458631 · inbound

Online Experimental Design With Estimation-Regret Trade-off Under Network Interference cites this paper.

Online Experimental Design With Estimation-Regret Trade-off Under Network Interference Communication Efficient Federated Learning for Generalized Linear Bandits

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T22:21:11.716491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:21:11.716491Z digest=sha256:ed20f599185d2a8e34fb12079c226214f2ea6954e7f2925bb00fe54a1188aadd

Observation 53e4bf61-2dc1-4b87-9672-0478294e81f0 · inbound

When Determinants Are Not Enough: Private Rare Switching cites this paper.

When Determinants Are Not Enough: Private Rare Switching Communication Efficient Federated Learning for Generalized Linear Bandits

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.598055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-25T05:04:26.921107Z digest=sha256:b580b75692ee10f5d83baa93bce22d1e9b8815234f8c4bae63606a8fcd9ee033