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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=sha256:8a0194d1f5f6fadb2868e579ff653fc80de09bc8c3e181d9b41acd1d74664254

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=sha256:4a2e3bd4ac8c8afbcca9a3a83f44aa682d963c259dc965da3a7bae81e3e3a9dd

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:acab4d0267fe93eaecfe1762eae06f14a55d72bbcdf407bf0fea9083cde1001d

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:cf76dfa33ce77200ff7b650bef4fb8297d615653429d9b4e8d658ecfc08c6d1e

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=sha256:88c1afc1a182d3ecba15f0361697b67c81eafe761e6d4470c186646ee0a378ad

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=sha256:8ed612f484d89ed66ad8d37d9896de9b63cd4972955000c0bf5649d65e8d71f4

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

Resolution
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:dc0ffb3c41470cb9276d8f51b693b4e20faa203cc8179cf076b327dfae76cb96

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=sha256:06073835b3fb0f9739d22de651cbe3f283b02d0db99e61ed6f952217be47b65b

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=sha256:03b3e61c3148fbc7806581a9dce6550c54ab60b3ddaeffe5547c9efa2e9d87bf

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

This paper cites Johnstone.

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

Reference 10

Resolution
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=sha256:3236941b0d14be0eb4c76faf454059441fd3e28d852bc78dc3a6895003cf9ecd

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:af33d924b34f263b3dd2eb8e66d3d215a9e2cb7267bf453f4376b8b043bace2f

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:b9b758c87bdfaf36626f3e7e88983e199aef495aa37531e17f2df0b3e127a21e

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:be966dd94f68f169011e9dde000875d58e33b00564c2b738cd9f0a1c8b366f49

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:c0b1aed12eec8d2a3f882220fc96066cef45ced13e5ceb8bfa5f74ab3ff72c5b

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=sha256:44d86e29ef3a5b934f80f7fce841bd27310ae9b9dff2a569131c60e66075c0b5

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=sha256:7e1ebeb4e3cd24d8be4c95bf9cca3ba5f5ad50c2f320ddd0a6c7739dda773c91

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=sha256:64f13ff35670d0c0650a7c9f9b882d32bdaef3538742c1335397f6299766a91a

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:cd44fcc97c21a78057991e12591ff3d08c30cbb599cf472e4cdeeff123708a5f

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=sha256:90bb9866e75e122955e96a1d11321630e6cc695352e371c282790c342aadd211

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=sha256:651ca338b2d3462be873f56d3ff058116cc9cc1ad52df8adb2e702cf61d40dcb

Pith citing papers

No inbound Pith citation observations are available.