Paper Citation Record · LEDGER

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.07891.

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

pith.paper-citation-record.v1
2310.07891 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 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:32:48.019302Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:26:24.056269Z

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 d750e739-650d-4369-a2f2-b9c852d3ae32 · inbound

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks cites this paper.

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T12:32:48.019302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75330558-2d30-44df-a8b6-0b709fc034cb · inbound

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories cites this paper.

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:32.163578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6bc133-db7d-4d50-96ba-3b2a052e71f5 · inbound

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime cites this paper.

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T13:54:28.744741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd590f46-5a7c-4b5c-8684-74243d00723d · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:09.035686Z

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 51557685-2d88-4b76-9857-505dbea086d4 · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:53.390460Z

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 ad71e8f5-6a6f-4d2a-aa81-3cd75f13ba0a · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:26:24.060591Z

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.