Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparse corruption in low-rank matrix inference: the PCA benchmark
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2511.11927.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T01:22:17.359656Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:26:54.804589Z
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 51cc0f5f-9525-46d1-bdee-88d2b743888f · inbound
BBP transition and the leading eigenvector of the spiked Wigner model with inhomogeneous noise cites this paper.
BBP transition and the leading eigenvector of the spiked Wigner model with inhomogeneous noise Sparse corruption in low-rank matrix inference: the PCA benchmark
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:20:43.357134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb7d7acf-22cd-4986-9bc1-37a0e8030463 · inbound
Largest eigenvalue and top eigenvector statistics of large Euclidean random matrices cites this paper.
Largest eigenvalue and top eigenvector statistics of large Euclidean random matrices Sparse corruption in low-rank matrix inference: the PCA benchmark
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:20:43.357134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 94b50259-2e62-4042-88dd-81ee48df4b3b · inbound
Largest eigenvalue and top eigenvector statistics of large Euclidean random matrices cites this paper.
Largest eigenvalue and top eigenvector statistics of large Euclidean random matrices Sparse corruption in low-rank matrix inference: the PCA benchmark
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:20:43.357134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e9340a20-0cff-451c-ac1c-fe186ece1754 · inbound
Spectral criteria for generalization in unsupervised Hebbian nets cites this paper.
Spectral criteria for generalization in unsupervised Hebbian nets Sparse corruption in low-rank matrix inference: the PCA benchmark
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-11T03:20:43.357134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb895fa5-8734-421b-8b04-e08c9a806739 · inbound
Spectral phase transitions and trainability in neural network learning dynamics cites this paper.
Spectral phase transitions and trainability in neural network learning dynamics Sparse corruption in low-rank matrix inference: the PCA benchmark
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:20:43.357134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.