Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.10549.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:53:59.291965Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T00:13:39.398724Z
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 e78fa806-6cb6-462d-ae50-ff92476b0562 · inbound
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:13:39.401823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cc4a53db-0e7d-49c5-b0f9-f4d2945e8c09 · inbound
Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.
Efficient Unlearning through Maximizing Relearning Convergence Delay Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.600414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c6e62dc0-2ed3-4ca5-a3de-f7aa27c36797 · inbound
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing cites this paper.
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:53:59.291965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.