Paper Citation Record · LEDGER

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06158.

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

pith.paper-citation-record.v1
2406.06158 v2

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 2026-08-09T11:54:36.905939Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff950a05-9e44-4e4d-b021-616f3aefd125 · inbound

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer cites this paper.

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:54:36.905939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be810198-8210-43b1-879f-11a02e250506 · inbound

A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning cites this paper.

A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T21:30:51.868185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d75937f-2a85-4b0a-81f6-e259b36e3dd5 · 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 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:53.497040Z

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 45d06a2e-b69b-49bb-b930-bb932d03eb55 · 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 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:26:24.185777Z

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 4a4d528a-3188-4bfa-96a2-bb7279da4540 · inbound

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks cites this paper.

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:33.922438Z

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 90370eb2-f4a8-447b-a192-02f1418569cf · 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 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 272

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.