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Paper Citation Record · LEDGER

A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2208.03313.

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

pith.paper-citation-record.v1
2208.03313 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:55:22.631858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:01:00.953972Z

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 63823156-deea-4e87-b25b-3564c62c161a · inbound

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

Optimal Spectral Transitions in High-Dimensional Multi-Index Models A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T11:55:22.631858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:55:22.631858Z digest=sha256:c69dd58d0fd83c30ba3e826a0f7986614abd758b1aee6fd80c02603a3a3dfa14

Observation 1dc2251c-7e3d-401f-84c7-df86569ef0cc · inbound

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators cites this paper.

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:14.416167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:14.416167Z digest=sha256:03b575d58f73db752934faad6e0ce2c7d75c5476e3ae3d99e4ed4ed5e6149bfa

Observation c9a2570a-79ed-4829-9d48-5785e81433df · inbound

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime cites this paper.

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:25.534737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:25.534737Z digest=sha256:a2c4ae52d7c3a30048224eadc4728b2eb5708694999bc788b2fabcec24f5f334

Observation 3c14d90a-601e-4c74-b414-a08b093b0d6c · inbound

Markov Chains Approximate Message Passing cites this paper.

Markov Chains Approximate Message Passing A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T19:13:11.507141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:13:11.507141Z digest=sha256:beba91861a99e65389983feb60e0073e28ce0b354e0271b39464d594793a42d6

Observation 998464e5-80e7-49db-8d3d-0e7d53c15578 · inbound

Universality of first-order methods on random and deterministic matrices cites this paper.

Universality of first-order methods on random and deterministic matrices A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:01:00.964338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:17:55.556535Z digest=sha256:1c42423be0d721e73a1e13e1119f8bd1d04384fb6cb7189468ad4d03110d82da

Observation 59f4a840-5719-4d51-b09a-5937cb23f3b4 · inbound

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

Approximate Message Passing with Random Initialization for Phase Retrieval A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-04T23:35:25.861764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:35:25.861764Z digest=sha256:223707747bad29bee85d4335bdf798c75577967257e48fbf5ab086c12b4f4b4e