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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:13:11.185341Z

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

  • 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 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:f0f517ba7a6edbded3c0b147aff63ac9aff0df80850bfec295509d6f367f0423

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 2026-05-11T00:15:52.551603Z

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.

source=pdf_text observed=2026-05-10T18:38:19.643059Z digest=sha256:18b8f8f90c893502ecfc0fdadaf42df37111407636ea50bc5c9bb93da9278538

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 2026-07-03T23:29:02.165886Z

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.

source=arxiv_source observed=2026-06-26T22:18:31.534798Z digest=sha256:75a04f41f0b52e4bf192ca05c0f20dd3e9fad6cbd852f3aac0e183919447d072

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=sha256:13e4bce18a1d560fa2279d4c8a53291a0f521cc98fa9429c99b003de7d9e0f38