Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Asymptotics of Linear Regression with Linearly Dependent Data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.03702.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:47:40.658970Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:40:24.903336Z
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 dfc3bb58-f64e-4136-8191-d2ceed24bcf8 · inbound
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning cites this paper.
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning Asymptotics of Linear Regression with Linearly Dependent Data
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:47:40.658970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46bc6197-3c2a-40ff-a866-238b69f3542b · 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 Asymptotics of Linear Regression with Linearly Dependent Data
Reference 241
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:32:56.145793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c2a4701-d7c8-45d5-b770-550508d9ec80 · 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 Asymptotics of Linear Regression with Linearly Dependent Data
Reference 241
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:40:24.906033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.