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Paper Citation Record · LEDGER

High-dimensional ridgeless least squares interpolation under spiked covariance structures

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.07281.

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

pith.paper-citation-record.v1
2608.07281 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:14:51.668607Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0557aa0-9953-4d08-bddd-6b89b13739c2 · outbound

This paper cites Determining the number of factors in approximate factor models.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Determining the number of factors in approximate factor models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T11:14:51.580522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.580522Z digest=sha256:5bf811eec760d9b95d15c7088af2574657e05e2a9f100b9a5f3010469469f90a

Observation 1a478b09-a936-4ee6-a42c-823b2a0003a1 · outbound

This paper cites Large sample covariance matrices without independence structures in columns.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Large sample covariance matrices without independence structures in columns

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.268314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.586075Z digest=sha256:9b40951f79d4c5d6ed3cd5bbb753d2ff3f97143256c32e72d9ca48b2d4ab2493

Observation 3847815f-6573-4277-b68e-fbc5da1447db · outbound

This paper cites On sample eigenvalues in a generalized spiked population model.

High-dimensional ridgeless least squares interpolation under spiked covariance structures On sample eigenvalues in a generalized spiked population model

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.254168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.592393Z digest=sha256:4262da298f1e42a4c3b5304485f633cd11a0f65ac17c6a53588dae6b59bf64d9

Observation ce0a9c4e-8f8b-484b-a11f-1751c64eba06 · outbound

This paper cites Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.240496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.598977Z digest=sha256:ac0bcdb3611f08652aa6252066340a5435ed67252a1c7464afb8e11289e137ab

Observation 066ffda6-3baf-4417-8b8f-4cfd90722a41 · outbound

This paper cites Silverstein.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Silverstein

Reference 5

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unresolved
no resolver link, observed 2026-08-10T11:14:51.603367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.603367Z digest=sha256:1388636036a6bc3973192225e58d8362462335016d961db7dd3eaa8b56722670

Observation 6a949c79-b3b2-4a6a-afb3-9e517c1148d0 · outbound

This paper cites Benign overfitting in linear regression.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Benign overfitting in linear regression

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.216565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.607706Z digest=sha256:2102b338927a6a51ff479b21a3176198ccf9321e35e5d476e40fc9307a8a1ef1

Observation 3f010cb1-dfd2-4d24-9a61-111d461482fc · outbound

This paper cites Reconciling modern machine-learning practice and the classical bias–variance trade-off.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Reconciling modern machine-learning practice and the classical bias–variance trade-off

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.202504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.612657Z digest=sha256:99fc43a9581e151d7eb4a63fdf21acc55c93d3684d73eac63436b94cf995c3be

Observation 780c0566-94c9-48b9-8829-f8fa5f4fbdc3 · outbound

This paper cites Two models of double descent for weak features.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Two models of double descent for weak features

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.188048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.616601Z digest=sha256:fb5d687344e4806437eafffb4a745a9b2838df910192557a3aa630bcacf9fbfc

Observation a3765de1-10cb-4115-979a-551dcf5ce92b · outbound

This paper cites Generalized four moment theorem and an application to clt for spiked eigenvalues of high-dimensional covariance matrices.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Generalized four moment theorem and an application to clt for spiked eigenvalues of high-dimensional covariance matrices

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.172725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.620774Z digest=sha256:6979981de0194e7a82be6b60d098ac99a8c3e477f01aed266376fb35017a9767

Observation ab1e459d-27b9-4501-8769-6c480b0ec3d4 · outbound

This paper cites Johnstone.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Johnstone

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.156250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.624538Z digest=sha256:33bd68b69760884ad5c98ff5bc2939af3548d3c1df43ba8f83352ed15ece9baf

Observation 34fcddb1-6ed3-4419-bc48-98ee16afe949 · outbound

This paper cites Johnstone and Boaz Nadler.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Johnstone and Boaz Nadler

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.140943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.628690Z digest=sha256:4c82b9e05f4ffe832c91fa54dccf3cffb5eb2f297d62707c3ff11406480857ab

Observation fd67c4a0-1520-46c9-a8f0-41030a99aee9 · outbound

This paper cites Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T11:14:51.632866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.632866Z digest=sha256:c6021518eb63ac3dabea8f66f8aa0bc2dc29b1dae48acf33da85860f14947036

Observation 0ed1add3-94f6-40e3-8e86-9abea1298e96 · outbound

This paper cites Surprises in high-dimensional ridgeless least squares interpolation.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Surprises in high-dimensional ridgeless least squares interpolation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.125875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.637257Z digest=sha256:9f22a7c0dccc0477573d52bdb492c6c1e4e5333036510801eddd1623ad046c92

Observation 8858f2a3-884b-4f84-bac9-d29d70c4f2ed · outbound

This paper cites Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.111183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.641690Z digest=sha256:d0b16c0d8af5c76e724cc9c4ae3e986ef4a697d9e07f95a4fd0aca9a37d3bd69

Observation 4da0f532-b508-4af5-a8a7-aa7f92e9790c · outbound

This paper cites Generalization for Least Squares Regression With Simple Spiked Covariances.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Generalization for Least Squares Regression With Simple Spiked Covariances

Reference 15

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unresolved
no resolver link, observed 2026-08-10T11:14:51.646067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.646067Z digest=sha256:d2c6c3060d38f286de345a94d1891e10656456749ec8d09db447c589adcc48c5

Observation bdbd9510-0b4c-4174-8421-d5c8612ec56c · outbound

This paper cites Risk phase transitions in spiked regression: alignment driven benign and catastrophic overfitting.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Risk phase transitions in spiked regression: alignment driven benign and catastrophic overfitting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T11:14:51.650615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.650615Z digest=sha256:7f093d6888d859b324382d915839c60435b165fa47b06fc6cb2731b97cf9afdf

Observation 44c8e43b-6a11-47eb-8bcd-0d0fac4a1620 · outbound

This paper cites Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-10T11:14:51.733764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.654812Z digest=sha256:92667d32e403b631e2c3ca92c719e753b1fd6005e41fe8179e8a4580ef90b446

Observation f4f87d67-d597-465c-9217-3da3dc174d98 · outbound

This paper cites Simon and Amirhesam Abedsoltan.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Simon and Amirhesam Abedsoltan

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.096324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.659295Z digest=sha256:8d7199b306361bbcaf646aac1946303dcca3c345337c72ba0ae61283f23ac610

Observation ba24dbc4-5935-4884-8b36-eee112a9c634 · outbound

This paper cites Asymptotics of sample eigenstructure for a large dimensional spiked covariance model.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Asymptotics of sample eigenstructure for a large dimensional spiked covariance model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T11:14:51.663739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:14:51.663739Z digest=sha256:690ebf6f114b6ac7879240f8157b6b7ec9f9d2af01c56f52b63328930083429c

Observation 66e9aec8-2b78-4e6b-beb1-2e9c65fd2b20 · outbound

This paper cites Silverstein.

High-dimensional ridgeless least squares interpolation under spiked covariance structures Silverstein

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:14:52.072585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T11:14:51.668607Z digest=sha256:d004fcdad7ac22618dc63bc8c19924dcbf6d2710fb84276fabd21d21bedd330c

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No inbound Pith citation observations are available.