Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mechanism of feature learning in convolutional neural networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.00570.
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 2026-08-06T19:31:19.028549Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T20:07:53.352476Z
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 88e5ce86-8a4e-427b-ad8d-028614980bb1 · inbound
The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations cites this paper.
The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations Mechanism of feature learning in convolutional neural networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:19.028549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 756f83ab-1d4d-4150-b935-63e6e8578997 · inbound
AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers cites this paper.
AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers Mechanism of feature learning in convolutional neural networks
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:07:53.356131Z
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.