Pith. sign in

Paper Citation Record · LEDGER

Federated Residual Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.12880.

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

pith.paper-citation-record.v1
2003.12880 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:26.489970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.431775Z

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 bd18ff49-d22e-42cc-90f5-eb9b14fc5a89 · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Federated Residual Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:26.489970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:26.489970Z digest=sha256:0a5c255d1e79cda6f019dcb2df31f175543ff2ffafaf8ba62a543f296560569c

Observation 354ae161-39aa-4b68-b4ce-454dc60b7d02 · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Federated Residual Learning

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.433442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:8e8fe6937e9f129d510fcc2e7c1186917d886961d6dc351adde47e2bb195b820