Paper Citation Record · LEDGER

Incentivizing Federated Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.10951.

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

pith.paper-citation-record.v1
2205.10951 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:51:20.918889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:33:16.727241Z

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 1c5bcce3-65c0-4037-afd3-6562e16c47f3 · inbound

Strategic Incentivization for Locally Differentially Private Federated Learning cites this paper.

Strategic Incentivization for Locally Differentially Private Federated Learning Incentivizing Federated Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:20.045086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5870fe-6df1-4ea7-a65b-9a5d4e02af6f · inbound

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation cites this paper.

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation Incentivizing Federated Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.728885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5bb3bfb3-a4f4-4117-bda1-069a9e65aa63 · inbound

Compensation Design cites this paper.

Compensation Design Incentivizing Federated Learning

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-02T02:19:06.115670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48188571-c462-4269-ab7c-9cea3d306464 · inbound

From Compensation Design to Budget-Feasible Mechanisms: A Constant Approximation for Subadditive Valuations cites this paper.

From Compensation Design to Budget-Feasible Mechanisms: A Constant Approximation for Subadditive Valuations Incentivizing Federated Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T19:42:44.851247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57fd0a8-755a-4e25-be68-e0b29829ee24 · inbound

From Compensation Design to Budget-Feasible Mechanisms: A Constant Approximation for Subadditive Valuations cites this paper.

From Compensation Design to Budget-Feasible Mechanisms: A Constant Approximation for Subadditive Valuations Incentivizing Federated Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T14:51:20.918889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.