Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1912.07242.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:14.959393Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:49:54.799092Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 01219d78-c7d3-48ff-8860-68aaad7eec47 · inbound
Scaling and renormalization in high-dimensional regression More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1e99849d-ecff-486f-b090-8dd7783026df · inbound
Transformers Don't In-Context Learn Least Squares Regression More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5adc4b5a-7d96-40d6-bb1e-40f09f39b891 · inbound
How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 290
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b0cff028-d0d2-441b-a71a-75ff68344db7 · inbound
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 117
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a39cfd6d-4583-4707-82ec-12ec501f16e8 · inbound
A Theory on Flow Matching with Neural Networks More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 784e6852-7a10-43f0-9541-d244baf78385 · inbound
The Geometry of Saturation: Effective Rank Predicts When Labels Stop Helping in Few-Shot Classification More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 13d8abd4-d2c1-491d-a6ff-abcb2d3f1573 · inbound
The Geometry of Saturation: Effective Rank Predicts When Labels Stop Helping in Few-Shot Classification More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eecf8dfb-b3f8-4e79-b920-a3c61b2fd2b9 · inbound
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 161
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e76f734c-5c88-42c0-a991-9eb2f53ac58b · inbound
Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.