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Paper Citation Record · LEDGER

Prototype Helps Federated Learning: Towards Faster Convergence

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.12296.

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

pith.paper-citation-record.v1
2303.12296 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:31:41.279047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:34:57.680020Z

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 37e787d8-e5c9-410d-b9dd-0797f74ccf12 · inbound

Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence cites this paper.

Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence Prototype Helps Federated Learning: Towards Faster Convergence

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T14:31:41.279047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:31:41.279047Z digest=sha256:9bef4a76e3a02795db8706e629872fb7f94d47b989486e8e404dc4a0358c040d

Observation 14487f82-9aea-45c2-87c3-b2fd3107fd0e · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Prototype Helps Federated Learning: Towards Faster Convergence

Reference 252

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:34:57.682552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:24d0293df96ca3a65122bcda1671465d6fac335d0a508bf3f891fd67047eeca4