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Paper Citation Record · LEDGER

Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.053159Z digest=sha256:49baf351d35c2089763cbe4864060a93754d82b0a7e36cf73582f23a7416b24f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.058443Z digest=sha256:40c21ba3ab33e35824a71a5db11fe52cebe42e955accd419bc09aaae806c16db

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.063225Z digest=sha256:2809c54c9a4b5b5fa6b6f9c3d03cedbc676f5207818b08cdeb347fdb1344f9b6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.073588Z digest=sha256:cdaa969b863a7a31193e4fa5db425a6db5e78937ef6073fa78e97d34c8c442ed

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.078440Z digest=sha256:a52ebc1cea7ff50ee548fa58cabffb6d54098a95a1002fe297dd4398074f6c98

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.084230Z digest=sha256:5c744ea40a28f902fa6ca25c42963cc5adf7e75c4446df631818bb00728b65ca

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.089309Z digest=sha256:c51749be2057307fc0ba0d2547e0f0cff560a3b04654267fc001407f051354e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.093966Z digest=sha256:054b79cc7cd9efd431869beed53481b099c372430fcae5aac2842a7734570c16

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.098940Z digest=sha256:464372b0d89595af5aa75164151283442fa341c194c8695cdb3b4d19f9d4fed1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.104144Z digest=sha256:a607c2e0c8d56e345e63d75f9bb0ec9a0b285011dd34700342a9934f15829753

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:55:20.109289Z digest=sha256:ddeb15e6e722966686b1d6e4cd9c364e0d7be6c2ffdfbaf47bfaee1327f6edbe

Pith citing papers

No inbound Pith citation observations are available.