Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.12836.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T03:07:29.843285Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:10:49.447013Z
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 b1406bbc-f4c5-4867-88b3-cce98379469c · inbound
Elucidating the Design Space of Diffusion-Based Generative Models cites this paper.
Elucidating the Design Space of Diffusion-Based Generative Models Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:46:53.296311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 65ae7903-afb8-4b0b-b97b-77d95e9e53df · inbound
MoTIF: A Mode-Structured Tensor Framework for Multi-Parametric Approximation, Super-Resolution and Forecasting of Unsteady Systems cites this paper.
MoTIF: A Mode-Structured Tensor Framework for Multi-Parametric Approximation, Super-Resolution and Forecasting of Unsteady Systems Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:10:49.450044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 108eb295-9705-43c2-8fd7-c3113c4ec02b · inbound
Error-mitigated quantum state tomography using neural networks cites this paper.
Error-mitigated quantum state tomography using neural networks Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:22:22.531818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.