Paper Citation Record · LEDGER

Surprises in High-Dimensional Ridgeless Least Squares Interpolation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1903.08560.

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

pith.paper-citation-record.v1
1903.08560 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:45.045673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.881441Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4de1f759-a631-42e3-82c6-2b3823c7afe5 · inbound

Limitations of Lazy Training of Two-layers Neural Networks cites this paper.

Limitations of Lazy Training of Two-layers Neural Networks Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-25T19:11:09.738425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 434edfa0-7c6b-43c3-b243-4090e1819e5e · inbound

Proximal Estimation and Inference cites this paper.

Proximal Estimation and Inference Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:59:24.945888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5795065-6e9e-4062-9526-0633bc5c118c · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:00:21.405465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc7151f9-61b2-451d-9adb-6889dac84207 · inbound

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders cites this paper.

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:45.045673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faf5b0fb-3b1d-4801-a053-7316c1696354 · inbound

Fixed-order PCA: Theory for Overestimated Factor Models cites this paper.

Fixed-order PCA: Theory for Overestimated Factor Models Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 127

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T02:37:59.217468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc274f5b-7ef1-4197-8032-4c32630ec5d6 · inbound

Asymmetric Scaling Laws from Sparse Features cites this paper.

Asymmetric Scaling Laws from Sparse Features Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:20:17.057188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04165e02-f5d8-4138-88a0-e7d084b4821d · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 130

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.987423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0865e2c9-a07c-438e-b1f7-c4aee3aacd1b · inbound

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 263

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:49:54.769376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39ec2b28-4262-44b1-8d37-00dc3f1283dd · inbound

Eigenvalue Calibration for Semantic Embeddings of Large Language Models cites this paper.

Eigenvalue Calibration for Semantic Embeddings of Large Language Models Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Reference 243

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:36:59.882829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.