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Paper Citation Record · LEDGER

Survey on Algorithms for multi-index models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.05426.

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

pith.paper-citation-record.v1
2504.05426 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:27.216117Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T08:54:48.833749Z

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 83cda6d9-26cc-4899-aa8c-76e2197518ac · inbound

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

Joint Learning in the Gaussian Single Index Model Survey on Algorithms for multi-index models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:27.216117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:27.216117Z digest=sha256:d785d3c7984d394b2f46fcdfa716978b038730860251b15f397f415f1698d279

Observation 27d09cad-76a7-47d8-b749-ab992d15e743 · inbound

The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models cites this paper.

The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models Survey on Algorithms for multi-index models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:32:00.232733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:32:00.232733Z digest=sha256:81772ae03f699643f91abc37674e2e9872f638387c432a95cdbc41083092f441

Observation 51b07fe1-7941-452b-b918-a997875ff07e · inbound

AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory cites this paper.

AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory Survey on Algorithms for multi-index models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T05:30:13.080004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:30:13.080004Z digest=sha256:82f7fd574d881899d6ddbc3aa85af7b89f42cd800c558b085eec61f5db78c841

Observation 053b7bbd-7910-4dc1-964e-9a0e40795fd6 · inbound

Limitations of SGD for Multi-Index Models Beyond Statistical Queries cites this paper.

Limitations of SGD for Multi-Index Models Beyond Statistical Queries Survey on Algorithms for multi-index models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T04:19:42.993021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:19:42.993021Z digest=sha256:2fe6ac1fffc6f0aa912c009f047b0f448639d9ec1270c0bd4331895c7a2f4f7f

Observation ff6c3862-fbf9-473c-85d8-e34892ebebb7 · inbound

Feature Learning for the High Dimensional Stationary Sch\"odinger Equation with Deep Ritz Method cites this paper.

Feature Learning for the High Dimensional Stationary Sch\"odinger Equation with Deep Ritz Method Survey on Algorithms for multi-index models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-08T08:54:48.835381Z

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.

source=pdf_text observed=2026-07-08T08:53:58.014772Z digest=sha256:5a596d8eae182b95c0cdfb48200c8dd7237ce94dd5f76e878ea17aa10992519d

Observation de31c177-117a-4cf7-ae21-8c3b856f94d2 · inbound

Approximate Message Passing with Random Initialization for Phase Retrieval cites this paper.

Approximate Message Passing with Random Initialization for Phase Retrieval Survey on Algorithms for multi-index models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T23:35:25.336382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:35:25.336382Z digest=sha256:b9a170abbfde5f7d75dded5c54a5f3e91279259959602a4c682ef43bd998931c