Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.01827.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:53.224470Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:11:18.879533Z
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 900e7db9-5d95-45d7-83f3-3bebdaff36de · inbound
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization cites this paper.
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:41:53.224470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78fac4d5-a9d2-4de2-9416-963ba9be4a09 · inbound
Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators cites this paper.
Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:11:18.885352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.