Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.04753.
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 2026-08-05T15:24:02.928881Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T03:24:12.988695Z
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 52e0a3b4-bd70-43fd-89f8-77c649f9fd62 · inbound
Eigenvalue distribution of the Neural Tangent Kernel in the quadratic scaling cites this paper.
Eigenvalue distribution of the Neural Tangent Kernel in the quadratic scaling Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:24:02.928881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c5dbfcf-3702-4444-8563-64e2b1d88211 · 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 Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:32:55.947057Z
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 57accd5a-6b7c-40f8-b18b-98d42a8ca435 · 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 Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:40:24.784613Z
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 398e9e7b-bee6-4aa0-b784-cea5af6ef503 · inbound
Bayesian Inference with Shaped Deep Non-linear MLPs cites this paper.
Bayesian Inference with Shaped Deep Non-linear MLPs Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T20:42:37.100268Z
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 889c3e02-dbd3-484c-9642-c45f9e7ce0e8 · inbound
Spectral Perturbation of the Empirical Fisher Information Matrix under Weight Quantization cites this paper.
Spectral Perturbation of the Empirical Fisher Information Matrix under Weight Quantization Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T03:24:12.990113Z
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.