Paper Citation Record · LEDGER

Feature learning as alignment: a structural property of gradient descent in non-linear 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:2402.05271.

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

pith.paper-citation-record.v1
2402.05271 v4

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 2026-08-12T15:38:34.441081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:20.879054Z

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 e4fa0e72-4b6f-4b37-a507-625a11d27374 · inbound

Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints cites this paper.

Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints Feature learning as alignment: a structural property of gradient descent in non-linear neural networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T15:38:34.441081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52ca1e5-c03b-4f84-b573-d5c1b4b75ee1 · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Feature learning as alignment: a structural property of gradient descent in non-linear neural networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:37.635294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ae1458-79f2-43d5-8129-c599dddfea0c · inbound

Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking cites this paper.

Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking Feature learning as alignment: a structural property of gradient descent in non-linear neural networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:06.404804Z

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 f48a2322-9c67-480a-9bd6-cc115d890e1a · inbound

Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics cites this paper.

Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics Feature learning as alignment: a structural property of gradient descent in non-linear neural networks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:20.880534Z

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.