Paper Citation Record · LEDGER

Understanding and Improving Layer Normalization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.07013.

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

pith.paper-citation-record.v1
1911.07013 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:31.260191Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T19:16:09.211963Z

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 652209ac-52ab-4fcc-a2f1-8bcb598ebe22 · inbound

Shrink the longest: improving latent space isotropy with symplicial geometry cites this paper.

Shrink the longest: improving latent space isotropy with symplicial geometry Understanding and Improving Layer Normalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:31.260191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f68ee24-48f7-4099-a447-b85ad5b40753 · inbound

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features cites this paper.

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Understanding and Improving Layer Normalization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T22:51:30.507227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce29769-20ca-4659-be46-5d740a038946 · inbound

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling cites this paper.

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Understanding and Improving Layer Normalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:21:10.438131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c355bc37-bf16-44f9-af09-c937102f725c · inbound

Parcae: Scaling Laws For Stable Looped Language Models cites this paper.

Parcae: Scaling Laws For Stable Looped Language Models Understanding and Improving Layer Normalization

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:01.206748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92e8b838-11c6-439b-b53b-3c7550a0a82c · inbound

BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation cites this paper.

BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation Understanding and Improving Layer Normalization

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:09.218529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.