Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.11078.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T07:32:39.495351Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:35:57.505935Z
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 9c4eb2a5-2edc-4ce5-8b22-00d9e64e4527 · inbound
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity cites this paper.
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:35:57.510489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9a689b7-cbfe-4e75-94c0-73b673d28f9e · inbound
HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning cites this paper.
HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:32:39.495351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.