Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1908.11365.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:28:51.843650Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:01:17.270221Z
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 172990d3-9470-4d19-b1b3-d190604287c2 · inbound
An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.
An Analysis for Reasoning Bias of Language Models with Small Initialization Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:28:51.843650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 603b62c3-90be-4501-a832-17b5326ec18a · inbound
Scalable Complexity Control Facilitates Reasoning Ability of LLMs cites this paper.
Scalable Complexity Control Facilitates Reasoning Ability of LLMs Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:01:17.331210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9d424513-f85c-4b23-a792-9ddf9113b413 · inbound
When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.
When Does Sparsity Mitigate the Curse of Depth in LLMs Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T20:29:33.439034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.