Paper Citation Record · LEDGER

On Learning Gaussian Multi-index Models with Gradient Flow

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.19793.

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

pith.paper-citation-record.v1
2310.19793 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:58:54.101645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:49:50.327070Z

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 30598121-164c-4c58-9b53-31c0a638a792 · inbound

Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery cites this paper.

Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery On Learning Gaussian Multi-index Models with Gradient Flow

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T14:58:54.101645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45a92d83-bb27-4531-8318-a69b18a74c5b · inbound

Optimal Spectral Transitions in High-Dimensional Multi-Index Models cites this paper.

Optimal Spectral Transitions in High-Dimensional Multi-Index Models On Learning Gaussian Multi-index Models with Gradient Flow

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:55:22.538600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2230fce1-742b-4d12-a5c6-8ffb0cd67864 · inbound

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions cites this paper.

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions On Learning Gaussian Multi-index Models with Gradient Flow

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T15:34:16.586354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214cd6bd-e5e6-4498-b2bc-95ca76dc3eaf · inbound

Joint Learning in the Gaussian Single Index Model cites this paper.

Joint Learning in the Gaussian Single Index Model On Learning Gaussian Multi-index Models with Gradient Flow

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:26.951223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e48971-a956-4474-8dfc-7d64d201ee96 · inbound

Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks cites this paper.

Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks On Learning Gaussian Multi-index Models with Gradient Flow

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T20:55:11.027028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8da0f10-6aa9-4a17-87a6-b9c6a5c93760 · inbound

Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning cites this paper.

Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning On Learning Gaussian Multi-index Models with Gradient Flow

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:42:53.901743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a32d3dcf-c94e-409e-bc29-73c85f2d1c36 · inbound

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model cites this paper.

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model On Learning Gaussian Multi-index Models with Gradient Flow

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:39:38.375452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 135d6cd5-99b3-4a5a-97d1-2ecefb284af8 · inbound

Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models cites this paper.

Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models On Learning Gaussian Multi-index Models with Gradient Flow

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:14:53.217481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6fdc417-e70b-4a32-8c16-328e7f70d4be · inbound

Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks cites this paper.

Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks On Learning Gaussian Multi-index Models with Gradient Flow

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:31:03.726747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b0fa462-1af3-4238-9ff8-72827d505f7b · inbound

Learning Sparse Compositional Functions with Norm-Constrained Neural Networks cites this paper.

Learning Sparse Compositional Functions with Norm-Constrained Neural Networks On Learning Gaussian Multi-index Models with Gradient Flow

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:33:58.330887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbfa8db9-34f8-4c70-a9da-4912ce750b55 · inbound

Incremental Learning in Mirror Flows cites this paper.

Incremental Learning in Mirror Flows On Learning Gaussian Multi-index Models with Gradient Flow

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:49:50.328586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de88921c-de4e-4e10-bd47-5423f2d41b3d · inbound

The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning cites this paper.

The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning On Learning Gaussian Multi-index Models with Gradient Flow

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T03:07:54.001891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.