Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.01974.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:04.039877Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T06:51:00.755300Z
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 a06d4451-895a-4532-94d0-3ea49fbc5548 · inbound
Some observations on the ambivalent role of symmetries in Bayesian inference problems cites this paper.
Some observations on the ambivalent role of symmetries in Bayesian inference problems On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:04.039877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdfbf3ac-b68f-420e-9eb5-5a098637f457 · inbound
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation cites this paper.
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Reference 8772
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T23:13:38.800507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a96c397b-73bf-4308-9e2e-2e5b407c49d5 · inbound
Graphical model for factorization and completion of relatively high rank tensors by sparse sampling cites this paper.
Graphical model for factorization and completion of relatively high rank tensors by sparse sampling On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:51:00.762639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.