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 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:31.806293Z
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 2026-08-18T06:34:40.430872+00:00.
Observation dbbf7b55-bbe0-412d-acbd-23fa8fdc77db · inbound
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation cites this paper.
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:04:55.975059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e19664f6-1d60-4cff-9b55-a5083619e697 · inbound
Fairness and Robustness in Machine Unlearning cites this paper.
Fairness and Robustness in Machine Unlearning Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:31.806293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b73e8b49-d65d-4908-9cc5-0d315d3a343c · inbound
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey cites this paper.
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:54:29.958480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6dcdd5a-9696-4d1b-8e01-842f49e2ed2d · inbound
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation cites this paper.
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:34:47.179152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-18T06:34:40.430872+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.