Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Learning Gaussian Multi-index Models with Gradient Flow
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.19793.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:26.951223Z
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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.