Paper Citation Record · LEDGER

A Modern Take on the Bias-Variance Tradeoff in Neural Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.08591.

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

pith.paper-citation-record.v1
1810.08591 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:41.761508Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.904680Z

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 06194fc8-974e-4a52-8f9c-60a50dc33d23 · inbound

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering cites this paper.

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T17:56:30.927590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbd8cd6-ea35-4b21-ab75-badfe13741c2 · inbound

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations cites this paper.

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:06:41.761508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83841fc-b865-4e37-aeff-7d9b31c9019c · inbound

Data-Driven Predictions for Dark Photon and Millicharged Particle Production cites this paper.

Data-Driven Predictions for Dark Photon and Millicharged Particle Production A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:05:27.114429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84760688-0cc6-4cc8-941c-eed5dda1f0a5 · inbound

A Green-Integral-Constrained Neural Solver with Stochastic Physics-Informed Regularization cites this paper.

A Green-Integral-Constrained Neural Solver with Stochastic Physics-Informed Regularization A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:49:15.633081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8dad755-e42c-476d-9c2d-9c603e44648c · 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 Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:24:30.341164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09996d68-76a7-4052-837c-8dfd8de34f70 · inbound

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

Eigenvalue Calibration for Semantic Embeddings of Large Language Models A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Reference 245

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:36:59.906648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.