Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
As of 2 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.08181.
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 2026-08-02T06:30:47.504484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-21T14:07:10.387869Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T14:10:13.293521Z
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 750364b6-048b-46a7-ae2d-e83e3d71e148 · inbound
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning cites this paper.
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:10:13.295517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9ebfdcff-1a9f-4fa8-a634-d56d62ac2dc2 · inbound
Towards Realistic Class-Incremental Learning with Free-Flow Increments cites this paper.
Towards Realistic Class-Incremental Learning with Free-Flow Increments Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T19:58:12.393734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.