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Paper Citation Record · LEDGER

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

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.

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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:14.959393Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T01:54:48.781227Z digest=sha256:8c986f54f1ddee8a5fae16bad7cbfff73a8271b811cdffc98fecf9cb19743000

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.

source=arxiv_source observed=2026-08-06T18:03:14.959393Z digest=sha256:ce13aa4734fef6d9e4ef6ecf019438d5e361947196fb4a72afefe9078b8d8a2c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T04:45:20.091598Z digest=sha256:ab462188248187dc9903f621cf60429b8a69f336b061445f6a39c1af3faf803c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:742d1348223606b31c884afb296d8b17abcfb7b9bc52807e9abaeb0bfee0bbb0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T16:59:34.084575Z digest=sha256:9c4effafc1a242e262124b6d149d4338f225bbaf33d1090feb37b9340c914147

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:49:36.315610Z digest=sha256:9875de0c6031e721e11db55cdf2bb0baeedaa3f00ddf8fab9d879b37eb1a2482

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.

source=pdf_text observed=2026-07-14T17:59:44.398164Z digest=sha256:1dbbc52ef92ed872fe0498d13291b47608bd7812d031dec56fad70c16b2dfd52

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T02:36:28.490582Z digest=sha256:2cc3d6bde4f1137930863038afced3b52287aef21d902b7901edf4e16ec173a5

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.

source=arxiv_source observed=2026-07-13T04:24:43.867063Z digest=sha256:eef4bc7ee3b3b41467292a6bd6039d24d09d4a6ba4f53e68e8eebd98b0b7f635