Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.01765.
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 2026-07-21T06:31:05.380196+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T03:07:52.730713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:55.373311Z
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 ae1f7a83-b59a-4542-b00b-825e12eee356 · inbound
Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers cites this paper.
Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:20:13.530977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 5d4d470e-6ace-47ed-a2fc-273e62031fc9 · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T11:46:55.375201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.