Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Operator SVD with Neural Networks via Nested Low-Rank Approximation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.03655.
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 2026-08-06T15:16:22.562176Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T05:32:19.263250Z
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 4bfccf53-c513-4888-8984-ce0b0997080c · inbound
An effective physics-informed neural operator framework for predicting wavefields cites this paper.
An effective physics-informed neural operator framework for predicting wavefields Operator SVD with Neural Networks via Nested Low-Rank Approximation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:16:22.562176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1eec334-8f42-4e91-91a0-0cfc937766c8 · inbound
Minimax Rates and Spectral Distillation for Tree Ensembles cites this paper.
Minimax Rates and Spectral Distillation for Tree Ensembles Operator SVD with Neural Networks via Nested Low-Rank Approximation
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:32:19.264865Z
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 888b10a2-c798-4990-98d1-02bccb5032a1 · inbound
Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging cites this paper.
Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging Operator SVD with Neural Networks via Nested Low-Rank Approximation
Reference 138
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:05:09.616361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.