Paper Citation Record · LEDGER

More Data Can Hurt for Linear Regression: Sample-wise Double Descent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1912.07242.

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

pith.paper-citation-record.v1
1912.07242 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:00.589992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:49:54.799092Z

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 01219d78-c7d3-48ff-8860-68aaad7eec47 · inbound

Scaling and renormalization in high-dimensional regression cites this paper.

Scaling and renormalization in high-dimensional regression More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:55:55.093969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abd1c615-f8fe-4487-86a9-233687768668 · inbound

A solvable generative model with a linear, one-step denoiser cites this paper.

A solvable generative model with a linear, one-step denoiser More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:01:21.865366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b40aeb6-951e-4bd7-9368-04ee22777304 · inbound

Benign Overfitting in Out-of-Distribution Generalization of Linear Models cites this paper.

Benign Overfitting in Out-of-Distribution Generalization of Linear Models More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:16.521750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8700a88-542c-43d4-9e57-28fcfbd7a294 · inbound

The Double Descent Behavior in Two Layer Neural Network for Binary Classification cites this paper.

The Double Descent Behavior in Two Layer Neural Network for Binary Classification More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:00.589992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e99849d-ecff-486f-b090-8dd7783026df · inbound

Transformers Don't In-Context Learn Least Squares Regression cites this paper.

Transformers Don't In-Context Learn Least Squares Regression More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:03:14.959393Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:49:44.836483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0cff028-d0d2-441b-a71a-75ff68344db7 · inbound

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.245871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a39cfd6d-4583-4707-82ec-12ec501f16e8 · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.854310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 784e6852-7a10-43f0-9541-d244baf78385 · inbound

The Geometry of Saturation: Effective Rank Predicts When Labels Stop Helping in Few-Shot Classification cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:58:42.964227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13d8abd4-d2c1-491d-a6ff-abcb2d3f1573 · inbound

The Geometry of Saturation: Effective Rank Predicts When Labels Stop Helping in Few-Shot Classification cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-07-14T17:59:44.398164Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:49:54.801253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e76f734c-5c88-42c0-a991-9eb2f53ac58b · inbound

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics cites this paper.

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics More Data Can Hurt for Linear Regression: Sample-wise Double Descent

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T04:24:43.867063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.