Pith. sign in

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=sha256:1a24b5b5998ee95fdb906a2cffad3afc66add4152882ff3ef0784df44135ac80

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=sha256:28e1a6f7ef2327b55fe4c413eec521c1eac0ad1ce19d9f6e657bce65b90be67a

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

Resolution
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:ecb2125ee9c6c64fac201061efc054d25492394257dff567ccfa593b25716860

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

Resolution
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:e1fc5727c5f1f8b8803b2f069f854a17d4e427a3d7f31af778cc66cf002bfda3

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

This paper cites Silverstein.

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

Reference 5

Resolution
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=sha256:144abbb6c897518df58876e9c84f12a0fda6a6c8f02c233cf32506aed2c6c65b

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:b9bb2ae270c008b9d8b9fd834640561068c58cd1cbbb6eea48a239d47b2754f6

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:f36dcb22026a025c9597902dfed0e3b130c120f0e374e1203b8dbd26144da08a

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:d47a2637b47ee7f22b36a4ed9007002061c07adac3adf6b362be82d8e1a29aa4

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=sha256:22450f552aa0be8245cbbf944c676474e12901223893b85233f86e63289bb8fc

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:ef79f4c867c713ae8018e63c980e588dcda5cb328d7d0bba13489b801b831fb6

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

Resolution
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=sha256:47e0998bc69dacf20dc635a8ec427f6fa6b6144538f72fe0395c4cc1c4d77bbd

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=sha256:6793d14168c1669806b7fa03c8f9d48f28838644872940697df2dbccfeb4df2d

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:d87ecbfccbd23e72070664b81656d27db08751d9ae56898e5c186b76b3d61b9a

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=sha256:4406dec86250af51f596211b81035e545132596632b0409dc46b6f4cf474afc3

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

Resolution
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:e9e88d927d07df591ae8f14c27d0fba673bcb17dcdb6a1756648199dc72823f6

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:f2e2de02911d7f643bca4576c39b5072d25f50e5e5625a6f1c2d76408d958489

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=sha256:09facfd35d838193915ddf90b1d25241546481324da88d44139df0d19af8a20b

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=sha256:206f45fba74e55dad6a7aafdb82955b3774d5eeead3795ab77d75ba26a282cf8

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=sha256:2f0569bcf24cd6c84169eee769b269ef0260a2d9593e8be8c3bfe72ae52214a1

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=sha256:23404a55be25e32c56716c47076491728b19549346345e9a1b1f9cc13b164f68

Pith citing papers

No inbound Pith citation observations are available.