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Paper Citation Record · LEDGER

A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.07148.

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

pith.paper-citation-record.v1
2102.07148 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:35:44.297999Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:54:38.213333Z

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 10e509e9-d4de-446d-821e-54f4d1311110 · inbound

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression cites this paper.

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:35:44.297999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:35:44.297999Z digest=sha256:2b2cabf4080109b94994760fd5dcc33489b1cf7d8016538f2c480269da922408

Observation c689d801-e7a4-4533-b415-869fa4519702 · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:53.691109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:36:53.691109Z digest=sha256:c429a8f6fba1f73dc58f3ce598385832f8b253e9d2748f1b645b5e05c342f468

Observation 2e30a5d9-a154-4808-88c9-d6a6346284c6 · inbound

Federated Majorize-Minimization: Beyond Parameter Aggregation cites this paper.

Federated Majorize-Minimization: Beyond Parameter Aggregation A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:54:38.218300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T14:54:36.590134Z digest=sha256:04f6fe79656650e4fa214a6b13e77d4c5977b2ae5a80a20bc96bf3497137c5d2