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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:53.691109Z

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 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=sha256:1b92fd0d8cabbc371950bdf29fc3b5ec0fa4051b9838255f0f67f2d229464ddc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T14:54:36.590134Z digest=sha256:ed7837095d76c6dc1daa38f97a44f8283fa421721ca4b2d1829b531b793b9708