Paper Citation Record · LEDGER

Six Lectures on Linearized Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.13431.

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

pith.paper-citation-record.v1
2308.13431 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:47:08.012659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:38:16.941643Z

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 031e90a6-9aa5-4f22-b5b1-627a090e29a4 · inbound

ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks cites this paper.

ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks Six Lectures on Linearized Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:47:08.012659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748aa465-ee00-48fd-919c-3e6417837036 · inbound

Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE cites this paper.

Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE Six Lectures on Linearized Neural Networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:58.245029Z

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 c9903919-cde0-4efe-b3ac-397d31723ddf · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks Six Lectures on Linearized Neural Networks

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:38:16.943284Z

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 f14cc402-d0e1-4b45-809f-552ab869e6fd · inbound

Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators cites this paper.

Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators Six Lectures on Linearized Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:35:48.041245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.