Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03260.
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 2026-08-09T11:54:36.802045Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:20:28.737356Z
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 cf1dc6c6-0932-4ef7-9b4d-a0dbd131e1bf · inbound
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer cites this paper.
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:54:36.802045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6869787-4dd8-4d19-9a28-96a123fc6bd4 · inbound
Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.
Adaptive kernel predictors from feature-learning infinite limits of neural networks Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:19:06.839815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b07f059b-dbfb-4d4d-ae45-6889b672db19 · inbound
Statistical mechanics of extensive-width Bayesian neural networks near interpolation cites this paper.
Statistical mechanics of extensive-width Bayesian neural networks near interpolation Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
Reference 916
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:20:28.808602Z
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.