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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:09:51.648556Z

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 fda841a7-9e58-4c16-9cb7-e64f3d45fdac · inbound

Unifying AMP Algorithms for Rotationally-Invariant Models cites this paper.

Unifying AMP Algorithms for Rotationally-Invariant Models A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:47.934918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:22:47.934918Z digest=sha256:3ccd060559e67c5655384d619829b3dda5384e5e748c66b3056018ffa86a39e9

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=sha256:5569edf34d373b0733ed4ce8bd016b4f2e11d7c00c83c2304e7fccb180bd57a4

Observation 34f96cce-2404-408c-855b-1c3247b86d61 · inbound

Capacity-achieving sparse superposition codes with spatially coupled VAMP decoder cites this paper.

Capacity-achieving sparse superposition codes with spatially coupled VAMP decoder A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T12:09:51.648556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:09:51.648556Z digest=sha256:6762272c036662c8f022eacb3b171933edba355cdca4b2c482af61cc85165536

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=sha256:76dbbb1a44da19a179ed84f6043f0e86c2f1d64931eb87b18419a7a5c1cf3407

Observation dbb21dfe-fda8-4538-9b9f-3514fc9e2519 · inbound

State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees cites this paper.

State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-15T18:01:08.295740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:01:08.295740Z digest=sha256:74152b4492704e4c25378a05c8ed4ffd9754acef28147f03f3e15d0fa3288fa3

Observation 7411195a-352e-48f0-ad13-705682463499 · inbound

Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling cites this paper.

Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T17:46:28.737651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:46:28.737651Z digest=sha256:bab5670a16691d9ff8cfcbd081b105c9659620aaafaae9c83b0118c5c494a501

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:c32877c6000db89a5cd98db1df4a79b3defd3a3f288d7bfa9e10dfd2284aaa30

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=sha256:9ef8f471d85d40d2607ff6d796b34a0df5454f15d1b38b9d7fd3b96309defb6b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:17:55.556535Z digest=sha256:301041dee09dd7c064c8edfac4674e1437bf34068b886c504378cd9897d08cbc

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=sha256:59de65a62da6cc2acee995b87fd85614f6c2f3545027001cc9ba4a6e45c3ff40