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Paper Citation Record · LEDGER

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.12060.

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

pith.paper-citation-record.v1
2411.12060 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:03:02.560411Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1189fd3a-4ead-4ad5-9dd6-08ba863ab03c · outbound

This paper cites Special issue on feature engineer- ing editorial.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Special issue on feature engineer- ing editorial

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ef3dd54d-8a3b-457b-8982-461157829dad · outbound

This paper cites Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3e783ccd-d709-4e76-ae6d-e200ca7511cd · outbound

This paper cites A few useful things to know about machine learning.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features A few useful things to know about machine learning

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9b5a7430-179a-47d2-b924-91bb511d95b3 · outbound

This paper cites Friedman, and Jerome H.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Friedman, and Jerome H

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 31e60549-c964-4261-98e4-092703c87d4d · outbound

This paper cites An Introduction to Statistical Learning: with Applications in R.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features An Introduction to Statistical Learning: with Applications in R

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation eee98cbc-261a-476a-bd98-3729512b5e94 · outbound

This paper cites an unresolved cited work.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fa3e0e2a-5f9e-4e55-abb2-b222377bc81b · outbound

This paper cites Introduction to Linear Algebra.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Introduction to Linear Algebra

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 995a3dae-32b2-4638-93a4-3866c0e261f3 · outbound

This paper cites Chueh, Martin Z.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Chueh, Martin Z

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 64079dfb-894a-4a20-a0b4-d0e2986953ca · outbound

This paper cites an unresolved cited work.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ff1b0578-7a9b-4b46-80f6-a17728622dfe · outbound

This paper cites James, Jing Wang, and Ji Zhu.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features James, Jing Wang, and Ji Zhu

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b983f3d6-c52b-476b-bb82-5a1752b2a833 · outbound

This paper cites Asinger, Robin Droop, Rolf Findeisen, and Richard D.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Asinger, Robin Droop, Rolf Findeisen, and Richard D

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 96d11a62-6948-4b7a-980d-c53c31e8ae3b · outbound

This paper cites Severson, Peter M.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Severson, Peter M

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 93af5e7f-c12e-4353-98b1-c7e77d4b0712 · outbound

This paper cites an unresolved cited work.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Unresolved cited work

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a3fbdd9d-5dd3-422b-80bf-eb98320b8650 · outbound

This paper cites The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fecd22b5-24c0-4304-8c76-45b15109cafc · outbound

This paper cites Repeated double cross validation.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Repeated double cross validation

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 962b8aba-55a0-4880-84db-7b1cd82050a0 · outbound

This paper cites Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.

Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.