Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.10191.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:26:50.529910Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:35:42.200703Z
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 b2dc3cdf-fb1e-487e-b32a-b8c8f1c56a20 · inbound
Continual Learning via Ensemble-Based Depth-Wise Masked Autoencoders for Data Quality Monitoring in High-Energy Physics cites this paper.
Continual Learning via Ensemble-Based Depth-Wise Masked Autoencoders for Data Quality Monitoring in High-Energy Physics Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:26:50.529910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20094d6d-53fd-431c-8cc7-297bec8bc5b5 · inbound
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning cites this paper.
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:31:25.610086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8796bf65-d6c7-4cd6-bfa5-d0b097260ab2 · inbound
FaceMoE: Mixture of Experts for Low-Resolution Face Recognition cites this paper.
FaceMoE: Mixture of Experts for Low-Resolution Face Recognition Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:35:42.202191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.