Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.03313.
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 2026-08-07T13:12:14.416167Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:01:00.953972Z
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 1dc2251c-7e3d-401f-84c7-df86569ef0cc · inbound
Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators cites this paper.
Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:14.416167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9a2570a-79ed-4829-9d48-5785e81433df · inbound
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime cites this paper.
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:54:25.534737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c14d90a-601e-4c74-b414-a08b093b0d6c · inbound
Markov Chains Approximate Message Passing cites this paper.
Markov Chains Approximate Message Passing A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:13:11.507141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 998464e5-80e7-49db-8d3d-0e7d53c15578 · inbound
Universality of first-order methods on random and deterministic matrices cites this paper.
Universality of first-order methods on random and deterministic matrices A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:01:00.964338Z
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 59f4a840-5719-4d51-b09a-5937cb23f3b4 · inbound
Approximate Message Passing with Random Initialization for Phase Retrieval cites this paper.
Approximate Message Passing with Random Initialization for Phase Retrieval A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Reference 136
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:35:25.861764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.