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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
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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=sha256:3647a091b252f2ba5f7d010bd487e505665409b24b56ef24cf055864ff7f0930

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

Resolution
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:cd1f9bb3d5fc0146c71185b2115fd2852f1fec4da87c0a71297a12382dbb2584

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=sha256:40d1b76af42ce319153fcaf472b5e395aaf5fb9605ae11d25d08db0d34d743ec

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=sha256:1b5833240a18170b45f463be59b0e785c2800c982f179715579c1ba051a5080f

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=sha256:955c8e8f071c35bd613173e6d5b5aede252c2738e9db999bab2535d84f25f958

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

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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=sha256:421053bad1f90d2bdf404a59365e96228e9516a7c6f6da267ccc53e03a39f7b4

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=sha256:7372623a16ed24aaada55bc2ff1b69bf1ab9540b81deae738dfc7034b731735e

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

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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:baab91e058a60847df7c5912045c699453360578503a652bf3f8c4b281c3ee9b

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:b5a76c204eba3d51d6e9743531fc9b53f1b50e3ebf1e93637bfc5e315b543187

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=sha256:9f3a357f87b660e8620d44e559e7638055047768a73142888c2bf682958a9cec

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=sha256:8e4728254511da6eea62b778bcfe4dc9b7ea0a3d650cd0767047c34fadca5a53

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=sha256:35f99c57cdc95d2af7b7b6cbc6e960c19c8dd82de07210e7dae3a07451e24222

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=sha256:338b81bd209c62de042df7caac395253d113f95bfb3bc5aba3c2e9155a60826c

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=sha256:2f105c8a42d3ae19fd04a1d0ed02eb2fd91bb70203ccd9aef77eebecb7c86d13

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:d9a585a8a36471d6b50467d23e8fc0d6365aede28df4648165c7c25fa75b2d65

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=sha256:918bcb95db4b5064c5751fac9973f181a6f01fb4f5914159f778f9a74e3b1017

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=sha256:2e705511facf6136ba6e36a894554fff70afeebae507d07acbc7ce1eec69298f

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

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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=sha256:950f6de247da1907c94450c39d9198e16484044c16668529d1236032e42fdddc

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=sha256:6e9af38d39cb76ecafb281b0ccc543c7ba30e734292e0ea653d8fb7003ad5f0c

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=sha256:921a5ba04a0ac35adc3cba333ac2f00daf880f048c81aa534c0b095ed269739c

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No inbound Pith citation observations are available.