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Paper Citation Record · LEDGER

Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.06401.

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

pith.paper-citation-record.v1
2408.06401 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:30:12.070197Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.164136Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 d705d73d-fefb-49f9-b8d1-9caed0fc2848 · inbound

Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence cites this paper.

Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T21:30:12.070197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:30:12.070197Z digest=sha256:76e23a512fb190e49d5ac5ea3352dfc8b215fbb02bb7fa39aadcf4e7cdb3dbad

Observation 9149ad07-5a80-4154-82f6-ed42f342c079 · inbound

Markov Chains Approximate Message Passing cites this paper.

Markov Chains Approximate Message Passing Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T19:13:11.185341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:13:11.185341Z digest=sha256:29db3edfcd93f2cf1fa45558a337593840db5a5cf03c5550336861c9540249ae

Observation 9c4862c5-7274-4a6a-92d4-ab55435edcc9 · inbound

Quantitative propagation of chaos and universality for asymmetric Langevin spin glass dynamics cites this paper.

Quantitative propagation of chaos and universality for asymmetric Langevin spin glass dynamics Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-08-14T00:53:30.653925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T18:38:19.643059Z digest=sha256:964c96e2ef5bc99cc85c1ed8aeb60b8ff2058c59762e1a8a0f7efc9ec8b12e42

Observation e0e3845d-f8e4-4d0a-9266-1a7827cd882a · inbound

Non-asymptotic Tail Bounds for the Kostlan--Shub--Smale Field: Tensor PCA and Spherical $k$-Spin Complexity cites this paper.

Non-asymptotic Tail Bounds for the Kostlan--Shub--Smale Field: Tensor PCA and Spherical $k$-Spin Complexity Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-08-14T00:53:30.653925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T22:18:31.534798Z digest=sha256:db104c28345da138fc6f184200146cacdc9ffccd397f54c48bb2d9de845478e6

Observation 17702635-14b3-45c6-8244-65cc42eecf14 · 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 Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:07:54.001891Z digest=sha256:61a2737fbbab213e0665528f7349d4ff0e7cba23a66b51f08d02b916a307ae85