Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1805.07477.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:23:02.208522Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T10:23:02.378973Z
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 671d44c3-34dc-4b0a-8b1d-8bda8f78e6a6 · inbound
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention cites this paper.
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:23:02.384239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.