Paper Citation Record · LEDGER

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.07254.

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

pith.paper-citation-record.v1
2408.07254 v2

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:32:48.028299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T04:31:03.682338Z

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 c0125c54-33b7-49ca-bf14-d9960a1a5640 · 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 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T12:32:48.028299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4c4f88-00bf-4869-b8ba-ff83366998d1 · inbound

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

Optimal Spectral Transitions in High-Dimensional Multi-Index Models Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T11:55:22.681539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76038ca5-b51d-486f-9a90-54834a59fc4f · inbound

Feature learning is decoupled from generalization in high capacity neural networks cites this paper.

Feature learning is decoupled from generalization in high capacity neural networks Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:37.159912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a2b444-565f-491b-9b2c-2e9cd232bbc9 · 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 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:31:03.685901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.