Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.18274.
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 2026-08-07T14:40:55.339442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:40:24.821249Z
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 10681d7c-7428-487c-8ee3-b45b04344f85 · inbound
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective cites this paper.
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:40:55.339442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c89c5ae-b727-4f51-8ca3-772f670263f8 · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
Reference 294
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:32:56.017185Z
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 be0c384d-59d3-489c-8ace-ac50c5e3aa5c · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
Reference 294
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:40:24.824537Z
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.