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Paper Citation Record · LEDGER

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15070.

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

pith.paper-citation-record.v1
2402.15070 v1

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 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T08:38:14.684206Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:47:02.068136Z

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 9abe0d67-41c1-493f-b4c9-6ac2ebf0372b · inbound

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs cites this paper.

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:23.605520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:42:46.426796Z digest=sha256:a773e6e30ceba9769187c946ed2ddb57ba7cfe6c2ec632a1ea8d42ea4532b136

Observation 78f3714b-d28e-4f48-9aa9-2055ff986e5a · inbound

Demystifying the Optimal Fair Classifier in Multi-Class Classification cites this paper.

Demystifying the Optimal Fair Classifier in Multi-Class Classification Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.652507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T18:49:29.377237Z digest=sha256:39a1239853d1968bc2f2939d9f2a2a2904957492c81d50d62ef918ca807ae11f

Observation e74bc969-b122-493a-beeb-71cc9e544b1a · inbound

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning cites this paper.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-10T08:47:02.069342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:601ccab8b7475db716b18b975333b6bcec4cf31db007745f0ca5649ebef47677