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Paper Citation Record · LEDGER

Incentivizing Federated Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:42:44.851247Z

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.

source=pdf_text observed=2026-08-05T22:25:20.045086Z digest=sha256:ed7478831cc69e314794d8aa9f67996c850be90b4264fe8e7d952597f9548b6d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T12:33:15.289591Z digest=sha256:e114afccc1dff9024882d9eac3b5887873405579503d9bb0ecc723604ff7dd64

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.

source=pdf_text observed=2026-08-02T02:19:06.115670Z digest=sha256:11e95c889dadcf406385b02aeeb4f44aa6ec1e639f0077bc0403fc4bb7f6065f

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.

source=arxiv_source observed=2026-08-08T19:42:44.851247Z digest=sha256:9a165dfe2c4d59da5b9e4de9d7e029225c7fa1ab75b838aadb5de58a1f6ab087