Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.00645.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:56.858393Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:47:37.965515Z
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 4751c03e-4852-4d28-ae0b-0b6cf8299b16 · inbound
T2I-ConBench: Text-to-Image Benchmark for Continual Post-training cites this paper.
T2I-ConBench: Text-to-Image Benchmark for Continual Post-training LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:55:56.858393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89f25b7e-4a15-488c-bbd8-70db0f08fc11 · inbound
Incremental SVD for Large-Scale Dynamic Matrices: Accuracy, Subspace Stability, Refresh Strategies, and Financial Factor-Based Risk Models cites this paper.
Incremental SVD for Large-Scale Dynamic Matrices: Accuracy, Subspace Stability, Refresh Strategies, and Financial Factor-Based Risk Models LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:34:40.328663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9765eaa6-bc28-4c60-8c62-63fbbf526a7a · inbound
Accurate and Resource-Efficient Federated Continual Learning cites this paper.
Accurate and Resource-Efficient Federated Continual Learning LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:47:37.966895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.