Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.18496.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:42:43.728785Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T00:52:14.722206Z
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 9a0f7f21-8c40-4d7e-8e7f-118462d7872e · inbound
Efficient QR-based Column Subset Selection through Randomized Sparse Embeddings cites this paper.
Efficient QR-based Column Subset Selection through Randomized Sparse Embeddings Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:42:43.728785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e554f959-a451-478d-9f95-f19b2c551e09 · inbound
Randomized biorthogonalization through a two-sided Gram-Schmidt process cites this paper.
Randomized biorthogonalization through a two-sided Gram-Schmidt process Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:20:08.519906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bae93fa-b548-409a-886f-7abd8e8064e3 · inbound
Many (most?) column subset selection criteria are NP hard for a few columns cites this paper.
Many (most?) column subset selection criteria are NP hard for a few columns Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:52:14.724779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b1cbc537-882b-4a75-9be0-929b7cdbc600 · inbound
Computing Strong Rank-Revealing Factorizations for Matrices with Orthonormal Rows cites this paper.
Computing Strong Rank-Revealing Factorizations for Matrices with Orthonormal Rows Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:12:59.647458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf7d9488-8fde-440b-bf1a-541ebddcc408 · inbound
Accelerating the Canonical Polyadic Alternating Least Squares Optimization via a Randomized Interpolative Decomposition cites this paper.
Accelerating the Canonical Polyadic Alternating Least Squares Optimization via a Randomized Interpolative Decomposition Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:34:47.990678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.