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Paper Citation Record · LEDGER

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1908.11365.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.11365 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:15.543558Z

measured 0 of 1 external citation measurements

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:01:15.543558Z digest=sha256:7c8701c23f50c42561d5eb6cc10ad11a34d5c4d4783944bfad59ddab2bd57152

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.

source=pdf_text observed=2026-07-14T20:29:33.439034Z digest=sha256:22a0aa1fcae86a064e315d7a5b6121226324d2c4e02b6acb01e117352c4c6505