Paper Citation Record · LEDGER

A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2109.02355.

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

pith.paper-citation-record.v1
2109.02355 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:41:49.628664Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.875751Z

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 136b2188-dc51-4921-a7e2-53f62374f429 · inbound

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features cites this paper.

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:54:15.985048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c099491-724f-433a-9cc2-b4cc6bab26e9 · inbound

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training cites this paper.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T00:41:49.628664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32bddf59-41d5-4333-b82c-361002398ebb · inbound

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining cites this paper.

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T14:36:36.407927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1469ae-d0b1-4ee9-9677-f7c050f680f3 · inbound

Analysis of Overparameterization in Continual Learning under a Linear Model cites this paper.

Analysis of Overparameterization in Continual Learning under a Linear Model A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T13:46:33.747859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1377627b-25c8-402b-a37b-5835adf133fa · inbound

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning cites this paper.

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:37.660314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a09755-08a0-4d62-bdf5-eb4794ab0ff8 · inbound

Double descent for least-squares interpolation on contaminated data: A simulation study cites this paper.

Double descent for least-squares interpolation on contaminated data: A simulation study A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:24:30.308773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c0243da7-274b-4f2e-93c6-5ce6df4e96d5 · inbound

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse cites this paper.

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 216

Resolution: unresolved; no resolver link, observed 2026-07-12T01:11:50.444218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57436a2a-5f7e-4bb3-9813-9039ef5ce396 · inbound

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

Eigenvalue Calibration for Semantic Embeddings of Large Language Models A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 231

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:36:59.877084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 83ce8162-533f-4db4-b0d6-15931278954e · inbound

Cautious optimism for deep parameterized quantum circuits cites this paper.

Cautious optimism for deep parameterized quantum circuits A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T07:39:34.243060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2c4d18-6c15-4b1e-b879-3387d78cf3fd · inbound

The Fourth Quadrant: A Stylized View of Benign Misfitting cites this paper.

The Fourth Quadrant: A Stylized View of Benign Misfitting A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T00:43:09.319426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.