Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Networks are Reproducing Kernel Chains
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.03697.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:43:13.278402Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:18:43.419036Z
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 209d2af4-5aa6-4bb7-b5d7-5cbdb26fc5fb · inbound
Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators cites this paper.
Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators Deep Networks are Reproducing Kernel Chains
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:43:13.278402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18e699a8-c1f6-439b-8e92-5a36a90c0feb · inbound
Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning cites this paper.
Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning Deep Networks are Reproducing Kernel Chains
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:18:06.885914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 73fdb618-7be7-4c41-bf43-d5bb2cfead95 · inbound
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks cites this paper.
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks Deep Networks are Reproducing Kernel Chains
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:18:43.420815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f03accdf-96cd-405a-af94-2f2a3f2a3121 · inbound
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks cites this paper.
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks Deep Networks are Reproducing Kernel Chains
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:32:37.429825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00124186-0228-4bef-9825-19a78268fd58 · inbound
Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity cites this paper.
Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Deep Networks are Reproducing Kernel Chains
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T06:01:25.773672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.