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Paper Citation Record · LEDGER

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1908.06296.

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

pith.paper-citation-record.v1
1908.06296 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:20.109289Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba9bd8ff-ee2d-42db-9651-968c6582ffa2 · outbound

This paper cites Message-pass ing algo- rithms for compressed sensing,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Message-pass ing algo- rithms for compressed sensing,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.325482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.053159Z digest=sha256:e2cd61ca4a5cd23b6579bd7a1490fbc135a5d9112a1d18634986ff1421a489ab

Observation cbaa7a7b-ea58-48d1-b277-39d4d9fa19e7 · outbound

This paper cites State evolution for gene ral approxi- mate message passing algorithms, with applications to spat ial coupling,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation State evolution for gene ral approxi- mate message passing algorithms, with applications to spat ial coupling,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.310941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.058443Z digest=sha256:83856d0492311ee2b2d4b8d14b44d824dffab8600f6299426bc1b7666ce9846b

Observation 184e9303-50e1-48b1-a890-13b83d50a4a8 · outbound

This paper cites On the convergence of approximate message passing with arbitrary matrices,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation On the convergence of approximate message passing with arbitrary matrices,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.295683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.063225Z digest=sha256:99ebfb01704af59974fc2afd5c007d1968176154c9e1a3799e3cd90a8babe716

Observation 3b3d1c98-e545-4713-ad85-8b1390385911 · outbound

This paper cites Sparse Estimation with the Swept Approximated Message-Passing Algorithm.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Sparse Estimation with the Swept Approximated Message-Passing Algorithm

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T12:55:20.067997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:55:20.067997Z digest=sha256:0a10d354801d9ddc0e0a2ed6f29966a5a449c62d6f5531e369111eb5cbb30e71

Observation cd7f43dc-6637-49f1-baf6-2378661e0f43 · outbound

This paper cites Adaptive damping and mean removal for the generalized approximate me ssage passing algorithm,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Adaptive damping and mean removal for the generalized approximate me ssage passing algorithm,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.280364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.073588Z digest=sha256:881ff8802fd3ef602df2a8d4ee07e141d2e682df52f4bb386670a66f721a7c1d

Observation 1d914e12-50dc-4f75-b197-b3c6a1f2abb0 · outbound

This paper cites Approximate Message Passing with Unitary Transformation.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Approximate Message Passing with Unitary Transformation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:55:20.153016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.078440Z digest=sha256:f9554138886459700f707461501d2a9abd796713570fd30cae7433a9c70dcd2a

Observation 3ea287c1-7454-44c8-bfcb-160deb13b516 · outbound

This paper cites V ector appro ximate message passing,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation V ector appro ximate message passing,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.263788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.084230Z digest=sha256:20c12c569339558e9f60b1882c5201cd46fab65cae27196d74a31a7d537c521a

Observation bada8501-dbd8-4084-88c1-c37d3f1d3742 · outbound

This paper cites Orthogonal amp,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Orthogonal amp,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.247101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.089309Z digest=sha256:a28efb846b53f486d97dfc16509840a6cd7978b83b2b9e304d0550f11558f7fb

Observation f388730d-f421-4918-9a17-1aca340a2ee1 · outbound

This paper cites Sparse bayesian learning us ing approxi- mate message passing,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Sparse bayesian learning us ing approxi- mate message passing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.231369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.093966Z digest=sha256:bedfe0a86f4f816c5d8ffbcd44e2d3b810a68a1662b1969494b45769bcfa308c

Observation e73db838-deb1-40d0-8546-4ec0ebebbc7b · outbound

This paper cites A gamp-bas ed low complexity sparse bayesian learning algorithm,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation A gamp-bas ed low complexity sparse bayesian learning algorithm,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.216308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.098940Z digest=sha256:32cd86a67be977a7312de8a5fdbd659dda0fdea10674e077752e285b45a1687e

Observation 2087102c-a9a2-4643-b0ac-a37514c15ad0 · outbound

This paper cites Iterat ive frequency domain equalization with generalized approxima te message passing,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation Iterat ive frequency domain equalization with generalized approxima te message passing,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.201708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.104144Z digest=sha256:6619a5d95e4530eb98432d69db3a063ed9d0200a499b44d8ac94419573f308fe

Observation 402bd16e-357c-495a-a102-be7d4c67333a · outbound

This paper cites A compendium of conjugate priors,.

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation A compendium of conjugate priors,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:20.186979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:20.109289Z digest=sha256:c1c5734d6efc341ad60bc7a2660ce5f15a4910ff168032eb0a35d30a576ddab5

Pith citing papers

No inbound Pith citation observations are available.