Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.15474.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:35:47.184144Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:26:26.717213Z
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 3bf88607-836b-470b-88da-f63b6e9fc212 · inbound
Lethe: Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning cites this paper.
Lethe: Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:35:47.184144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e053b860-17b4-4a68-97ce-a3c6a85179f4 · inbound
Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging cites this paper.
Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:26:26.719190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.